Pushed patched model
Browse files- checkpoint-254/README.md +202 -0
- checkpoint-254/adapter_config.json +40 -0
- checkpoint-254/adapter_model.safetensors +3 -0
- checkpoint-254/optimizer.pt +3 -0
- checkpoint-254/rng_state.pth +3 -0
- checkpoint-254/scheduler.pt +3 -0
- checkpoint-254/trainer_state.json +3577 -0
- checkpoint-254/training_args.bin +3 -0
- checkpoint-378/README.md +202 -0
- checkpoint-378/adapter_config.json +40 -0
- checkpoint-378/adapter_model.safetensors +3 -0
- checkpoint-378/optimizer.pt +3 -0
- checkpoint-378/rng_state.pth +3 -0
- checkpoint-378/scheduler.pt +3 -0
- checkpoint-378/trainer_state.json +0 -0
- checkpoint-378/training_args.bin +3 -0
checkpoint-254/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: liuhaotian/llava-v1.5-7b
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-254/adapter_config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "LlavaLlamaForCausalLM",
|
5 |
+
"parent_library": "llava.model.language_model.llava_llama"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.5-7b",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_dropout": 0.05,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 16,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"out_projfc1",
|
27 |
+
"down_proj",
|
28 |
+
"gate_proj",
|
29 |
+
"o_proj",
|
30 |
+
"q_proj",
|
31 |
+
"fc2model.mm_projector.0",
|
32 |
+
"v_proj",
|
33 |
+
"up_proj",
|
34 |
+
"k_proj",
|
35 |
+
"model.mm_projector.2"
|
36 |
+
],
|
37 |
+
"task_type": null,
|
38 |
+
"use_dora": false,
|
39 |
+
"use_rslora": false
|
40 |
+
}
|
checkpoint-254/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ef82b54c54780b003580849eb4b2bb6ccb1b63117cf5dfce7f5df826495b8849
|
3 |
+
size 85021296
|
checkpoint-254/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3314fe6577b83ee62013b5815e5b82c9f7f20339fffd1444ac288ca8493f57e1
|
3 |
+
size 160812632
|
checkpoint-254/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5588fd6d57ee4cc41d7a15553d69c6ec403ce8601a2aa9c975a7f3d57e53c132
|
3 |
+
size 14244
|
checkpoint-254/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e9434f32499c5e3da038f841f491b8af79fe761a5eb44c343a42ee8dd5c15aa
|
3 |
+
size 1064
|
checkpoint-254/trainer_state.json
ADDED
@@ -0,0 +1,3577 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9350641369819641,
|
3 |
+
"best_model_checkpoint": "llava-v1.5-7b-chess/checkpoint-254",
|
4 |
+
"epoch": 2.015873015873016,
|
5 |
+
"eval_steps": 1,
|
6 |
+
"global_step": 254,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"learning_rate": 9.973544973544973e-05,
|
14 |
+
"loss": 1.9416,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"eval_loss": 1.8246577978134155,
|
20 |
+
"eval_runtime": 11.1051,
|
21 |
+
"eval_samples_per_second": 5.133,
|
22 |
+
"eval_steps_per_second": 1.711,
|
23 |
+
"step": 1
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02,
|
27 |
+
"learning_rate": 9.947089947089946e-05,
|
28 |
+
"loss": 1.8254,
|
29 |
+
"step": 2
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.02,
|
33 |
+
"eval_loss": 1.7272577285766602,
|
34 |
+
"eval_runtime": 11.142,
|
35 |
+
"eval_samples_per_second": 5.116,
|
36 |
+
"eval_steps_per_second": 1.705,
|
37 |
+
"step": 2
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02,
|
41 |
+
"learning_rate": 9.920634920634922e-05,
|
42 |
+
"loss": 1.726,
|
43 |
+
"step": 3
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.02,
|
47 |
+
"eval_loss": 1.630748987197876,
|
48 |
+
"eval_runtime": 11.2506,
|
49 |
+
"eval_samples_per_second": 5.066,
|
50 |
+
"eval_steps_per_second": 1.689,
|
51 |
+
"step": 3
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.03,
|
55 |
+
"learning_rate": 9.894179894179895e-05,
|
56 |
+
"loss": 1.5798,
|
57 |
+
"step": 4
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.03,
|
61 |
+
"eval_loss": 1.5509014129638672,
|
62 |
+
"eval_runtime": 11.2587,
|
63 |
+
"eval_samples_per_second": 5.063,
|
64 |
+
"eval_steps_per_second": 1.688,
|
65 |
+
"step": 4
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.04,
|
69 |
+
"learning_rate": 9.867724867724868e-05,
|
70 |
+
"loss": 1.4559,
|
71 |
+
"step": 5
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 0.04,
|
75 |
+
"eval_loss": 1.487467885017395,
|
76 |
+
"eval_runtime": 11.3884,
|
77 |
+
"eval_samples_per_second": 5.005,
|
78 |
+
"eval_steps_per_second": 1.668,
|
79 |
+
"step": 5
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.05,
|
83 |
+
"learning_rate": 9.841269841269841e-05,
|
84 |
+
"loss": 1.4914,
|
85 |
+
"step": 6
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 0.05,
|
89 |
+
"eval_loss": 1.4393059015274048,
|
90 |
+
"eval_runtime": 11.2599,
|
91 |
+
"eval_samples_per_second": 5.062,
|
92 |
+
"eval_steps_per_second": 1.687,
|
93 |
+
"step": 6
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.06,
|
97 |
+
"learning_rate": 9.814814814814815e-05,
|
98 |
+
"loss": 1.4471,
|
99 |
+
"step": 7
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.06,
|
103 |
+
"eval_loss": 1.4020471572875977,
|
104 |
+
"eval_runtime": 11.2524,
|
105 |
+
"eval_samples_per_second": 5.066,
|
106 |
+
"eval_steps_per_second": 1.689,
|
107 |
+
"step": 7
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.06,
|
111 |
+
"learning_rate": 9.78835978835979e-05,
|
112 |
+
"loss": 1.2306,
|
113 |
+
"step": 8
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.06,
|
117 |
+
"eval_loss": 1.3740724325180054,
|
118 |
+
"eval_runtime": 11.2867,
|
119 |
+
"eval_samples_per_second": 5.05,
|
120 |
+
"eval_steps_per_second": 1.683,
|
121 |
+
"step": 8
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.07,
|
125 |
+
"learning_rate": 9.761904761904762e-05,
|
126 |
+
"loss": 1.4704,
|
127 |
+
"step": 9
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 0.07,
|
131 |
+
"eval_loss": 1.3502081632614136,
|
132 |
+
"eval_runtime": 11.1146,
|
133 |
+
"eval_samples_per_second": 5.128,
|
134 |
+
"eval_steps_per_second": 1.709,
|
135 |
+
"step": 9
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.08,
|
139 |
+
"learning_rate": 9.735449735449735e-05,
|
140 |
+
"loss": 1.3146,
|
141 |
+
"step": 10
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.08,
|
145 |
+
"eval_loss": 1.3297895193099976,
|
146 |
+
"eval_runtime": 11.1575,
|
147 |
+
"eval_samples_per_second": 5.109,
|
148 |
+
"eval_steps_per_second": 1.703,
|
149 |
+
"step": 10
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.09,
|
153 |
+
"learning_rate": 9.70899470899471e-05,
|
154 |
+
"loss": 1.3019,
|
155 |
+
"step": 11
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.09,
|
159 |
+
"eval_loss": 1.3097199201583862,
|
160 |
+
"eval_runtime": 11.2593,
|
161 |
+
"eval_samples_per_second": 5.062,
|
162 |
+
"eval_steps_per_second": 1.687,
|
163 |
+
"step": 11
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.1,
|
167 |
+
"learning_rate": 9.682539682539682e-05,
|
168 |
+
"loss": 1.3221,
|
169 |
+
"step": 12
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.1,
|
173 |
+
"eval_loss": 1.2873374223709106,
|
174 |
+
"eval_runtime": 11.3312,
|
175 |
+
"eval_samples_per_second": 5.03,
|
176 |
+
"eval_steps_per_second": 1.677,
|
177 |
+
"step": 12
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.1,
|
181 |
+
"learning_rate": 9.656084656084657e-05,
|
182 |
+
"loss": 1.1772,
|
183 |
+
"step": 13
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.1,
|
187 |
+
"eval_loss": 1.266847014427185,
|
188 |
+
"eval_runtime": 11.1617,
|
189 |
+
"eval_samples_per_second": 5.107,
|
190 |
+
"eval_steps_per_second": 1.702,
|
191 |
+
"step": 13
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.11,
|
195 |
+
"learning_rate": 9.62962962962963e-05,
|
196 |
+
"loss": 1.3181,
|
197 |
+
"step": 14
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.11,
|
201 |
+
"eval_loss": 1.2443625926971436,
|
202 |
+
"eval_runtime": 11.1487,
|
203 |
+
"eval_samples_per_second": 5.113,
|
204 |
+
"eval_steps_per_second": 1.704,
|
205 |
+
"step": 14
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.12,
|
209 |
+
"learning_rate": 9.603174603174604e-05,
|
210 |
+
"loss": 1.3618,
|
211 |
+
"step": 15
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.12,
|
215 |
+
"eval_loss": 1.2243196964263916,
|
216 |
+
"eval_runtime": 11.1938,
|
217 |
+
"eval_samples_per_second": 5.092,
|
218 |
+
"eval_steps_per_second": 1.697,
|
219 |
+
"step": 15
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.13,
|
223 |
+
"learning_rate": 9.576719576719577e-05,
|
224 |
+
"loss": 1.1889,
|
225 |
+
"step": 16
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.13,
|
229 |
+
"eval_loss": 1.2069342136383057,
|
230 |
+
"eval_runtime": 11.4694,
|
231 |
+
"eval_samples_per_second": 4.97,
|
232 |
+
"eval_steps_per_second": 1.657,
|
233 |
+
"step": 16
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.13,
|
237 |
+
"learning_rate": 9.550264550264551e-05,
|
238 |
+
"loss": 1.1392,
|
239 |
+
"step": 17
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.13,
|
243 |
+
"eval_loss": 1.1917818784713745,
|
244 |
+
"eval_runtime": 11.2495,
|
245 |
+
"eval_samples_per_second": 5.067,
|
246 |
+
"eval_steps_per_second": 1.689,
|
247 |
+
"step": 17
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.14,
|
251 |
+
"learning_rate": 9.523809523809524e-05,
|
252 |
+
"loss": 1.0116,
|
253 |
+
"step": 18
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.14,
|
257 |
+
"eval_loss": 1.1815506219863892,
|
258 |
+
"eval_runtime": 11.242,
|
259 |
+
"eval_samples_per_second": 5.07,
|
260 |
+
"eval_steps_per_second": 1.69,
|
261 |
+
"step": 18
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.15,
|
265 |
+
"learning_rate": 9.497354497354498e-05,
|
266 |
+
"loss": 1.1372,
|
267 |
+
"step": 19
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.15,
|
271 |
+
"eval_loss": 1.1708626747131348,
|
272 |
+
"eval_runtime": 11.2192,
|
273 |
+
"eval_samples_per_second": 5.081,
|
274 |
+
"eval_steps_per_second": 1.694,
|
275 |
+
"step": 19
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.16,
|
279 |
+
"learning_rate": 9.470899470899471e-05,
|
280 |
+
"loss": 1.1948,
|
281 |
+
"step": 20
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.16,
|
285 |
+
"eval_loss": 1.1638435125350952,
|
286 |
+
"eval_runtime": 11.366,
|
287 |
+
"eval_samples_per_second": 5.015,
|
288 |
+
"eval_steps_per_second": 1.672,
|
289 |
+
"step": 20
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.17,
|
293 |
+
"learning_rate": 9.444444444444444e-05,
|
294 |
+
"loss": 1.0286,
|
295 |
+
"step": 21
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.17,
|
299 |
+
"eval_loss": 1.1577672958374023,
|
300 |
+
"eval_runtime": 11.1403,
|
301 |
+
"eval_samples_per_second": 5.117,
|
302 |
+
"eval_steps_per_second": 1.706,
|
303 |
+
"step": 21
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.17,
|
307 |
+
"learning_rate": 9.417989417989419e-05,
|
308 |
+
"loss": 1.1499,
|
309 |
+
"step": 22
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.17,
|
313 |
+
"eval_loss": 1.151979923248291,
|
314 |
+
"eval_runtime": 11.2244,
|
315 |
+
"eval_samples_per_second": 5.078,
|
316 |
+
"eval_steps_per_second": 1.693,
|
317 |
+
"step": 22
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.18,
|
321 |
+
"learning_rate": 9.391534391534393e-05,
|
322 |
+
"loss": 1.1372,
|
323 |
+
"step": 23
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.18,
|
327 |
+
"eval_loss": 1.144721269607544,
|
328 |
+
"eval_runtime": 11.2159,
|
329 |
+
"eval_samples_per_second": 5.082,
|
330 |
+
"eval_steps_per_second": 1.694,
|
331 |
+
"step": 23
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.19,
|
335 |
+
"learning_rate": 9.365079365079366e-05,
|
336 |
+
"loss": 1.1184,
|
337 |
+
"step": 24
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.19,
|
341 |
+
"eval_loss": 1.1370524168014526,
|
342 |
+
"eval_runtime": 11.6226,
|
343 |
+
"eval_samples_per_second": 4.904,
|
344 |
+
"eval_steps_per_second": 1.635,
|
345 |
+
"step": 24
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.2,
|
349 |
+
"learning_rate": 9.338624338624339e-05,
|
350 |
+
"loss": 0.9123,
|
351 |
+
"step": 25
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.2,
|
355 |
+
"eval_loss": 1.130428671836853,
|
356 |
+
"eval_runtime": 11.5048,
|
357 |
+
"eval_samples_per_second": 4.954,
|
358 |
+
"eval_steps_per_second": 1.651,
|
359 |
+
"step": 25
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.21,
|
363 |
+
"learning_rate": 9.312169312169312e-05,
|
364 |
+
"loss": 1.0534,
|
365 |
+
"step": 26
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.21,
|
369 |
+
"eval_loss": 1.125217318534851,
|
370 |
+
"eval_runtime": 11.2392,
|
371 |
+
"eval_samples_per_second": 5.072,
|
372 |
+
"eval_steps_per_second": 1.691,
|
373 |
+
"step": 26
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.21,
|
377 |
+
"learning_rate": 9.285714285714286e-05,
|
378 |
+
"loss": 0.9502,
|
379 |
+
"step": 27
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.21,
|
383 |
+
"eval_loss": 1.118015170097351,
|
384 |
+
"eval_runtime": 11.3322,
|
385 |
+
"eval_samples_per_second": 5.03,
|
386 |
+
"eval_steps_per_second": 1.677,
|
387 |
+
"step": 27
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.22,
|
391 |
+
"learning_rate": 9.25925925925926e-05,
|
392 |
+
"loss": 1.0064,
|
393 |
+
"step": 28
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.22,
|
397 |
+
"eval_loss": 1.1118570566177368,
|
398 |
+
"eval_runtime": 11.5282,
|
399 |
+
"eval_samples_per_second": 4.944,
|
400 |
+
"eval_steps_per_second": 1.648,
|
401 |
+
"step": 28
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.23,
|
405 |
+
"learning_rate": 9.232804232804233e-05,
|
406 |
+
"loss": 1.1374,
|
407 |
+
"step": 29
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.23,
|
411 |
+
"eval_loss": 1.1059463024139404,
|
412 |
+
"eval_runtime": 11.448,
|
413 |
+
"eval_samples_per_second": 4.979,
|
414 |
+
"eval_steps_per_second": 1.66,
|
415 |
+
"step": 29
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.24,
|
419 |
+
"learning_rate": 9.206349206349206e-05,
|
420 |
+
"loss": 0.9704,
|
421 |
+
"step": 30
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 0.24,
|
425 |
+
"eval_loss": 1.1008621454238892,
|
426 |
+
"eval_runtime": 11.2328,
|
427 |
+
"eval_samples_per_second": 5.074,
|
428 |
+
"eval_steps_per_second": 1.691,
|
429 |
+
"step": 30
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.25,
|
433 |
+
"learning_rate": 9.17989417989418e-05,
|
434 |
+
"loss": 1.1065,
|
435 |
+
"step": 31
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.25,
|
439 |
+
"eval_loss": 1.0981618165969849,
|
440 |
+
"eval_runtime": 11.2834,
|
441 |
+
"eval_samples_per_second": 5.052,
|
442 |
+
"eval_steps_per_second": 1.684,
|
443 |
+
"step": 31
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.25,
|
447 |
+
"learning_rate": 9.153439153439155e-05,
|
448 |
+
"loss": 1.0171,
|
449 |
+
"step": 32
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.25,
|
453 |
+
"eval_loss": 1.0968972444534302,
|
454 |
+
"eval_runtime": 11.3954,
|
455 |
+
"eval_samples_per_second": 5.002,
|
456 |
+
"eval_steps_per_second": 1.667,
|
457 |
+
"step": 32
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.26,
|
461 |
+
"learning_rate": 9.126984126984128e-05,
|
462 |
+
"loss": 1.1673,
|
463 |
+
"step": 33
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 0.26,
|
467 |
+
"eval_loss": 1.0943207740783691,
|
468 |
+
"eval_runtime": 11.2123,
|
469 |
+
"eval_samples_per_second": 5.084,
|
470 |
+
"eval_steps_per_second": 1.695,
|
471 |
+
"step": 33
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.27,
|
475 |
+
"learning_rate": 9.1005291005291e-05,
|
476 |
+
"loss": 1.0381,
|
477 |
+
"step": 34
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.27,
|
481 |
+
"eval_loss": 1.09196937084198,
|
482 |
+
"eval_runtime": 11.2142,
|
483 |
+
"eval_samples_per_second": 5.083,
|
484 |
+
"eval_steps_per_second": 1.694,
|
485 |
+
"step": 34
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.28,
|
489 |
+
"learning_rate": 9.074074074074075e-05,
|
490 |
+
"loss": 1.0529,
|
491 |
+
"step": 35
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.28,
|
495 |
+
"eval_loss": 1.091015338897705,
|
496 |
+
"eval_runtime": 11.2585,
|
497 |
+
"eval_samples_per_second": 5.063,
|
498 |
+
"eval_steps_per_second": 1.688,
|
499 |
+
"step": 35
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.29,
|
503 |
+
"learning_rate": 9.047619047619048e-05,
|
504 |
+
"loss": 1.0849,
|
505 |
+
"step": 36
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.29,
|
509 |
+
"eval_loss": 1.0885584354400635,
|
510 |
+
"eval_runtime": 11.3567,
|
511 |
+
"eval_samples_per_second": 5.019,
|
512 |
+
"eval_steps_per_second": 1.673,
|
513 |
+
"step": 36
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.29,
|
517 |
+
"learning_rate": 9.021164021164022e-05,
|
518 |
+
"loss": 1.0472,
|
519 |
+
"step": 37
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.29,
|
523 |
+
"eval_loss": 1.0872443914413452,
|
524 |
+
"eval_runtime": 11.2417,
|
525 |
+
"eval_samples_per_second": 5.07,
|
526 |
+
"eval_steps_per_second": 1.69,
|
527 |
+
"step": 37
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.3,
|
531 |
+
"learning_rate": 8.994708994708995e-05,
|
532 |
+
"loss": 1.0949,
|
533 |
+
"step": 38
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.3,
|
537 |
+
"eval_loss": 1.0832560062408447,
|
538 |
+
"eval_runtime": 11.8516,
|
539 |
+
"eval_samples_per_second": 4.809,
|
540 |
+
"eval_steps_per_second": 1.603,
|
541 |
+
"step": 38
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.31,
|
545 |
+
"learning_rate": 8.968253968253969e-05,
|
546 |
+
"loss": 1.0909,
|
547 |
+
"step": 39
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.31,
|
551 |
+
"eval_loss": 1.0786099433898926,
|
552 |
+
"eval_runtime": 11.432,
|
553 |
+
"eval_samples_per_second": 4.986,
|
554 |
+
"eval_steps_per_second": 1.662,
|
555 |
+
"step": 39
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.32,
|
559 |
+
"learning_rate": 8.941798941798942e-05,
|
560 |
+
"loss": 0.9484,
|
561 |
+
"step": 40
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.32,
|
565 |
+
"eval_loss": 1.0725367069244385,
|
566 |
+
"eval_runtime": 11.4482,
|
567 |
+
"eval_samples_per_second": 4.979,
|
568 |
+
"eval_steps_per_second": 1.66,
|
569 |
+
"step": 40
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.33,
|
573 |
+
"learning_rate": 8.915343915343915e-05,
|
574 |
+
"loss": 1.0805,
|
575 |
+
"step": 41
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.33,
|
579 |
+
"eval_loss": 1.0665147304534912,
|
580 |
+
"eval_runtime": 11.259,
|
581 |
+
"eval_samples_per_second": 5.063,
|
582 |
+
"eval_steps_per_second": 1.688,
|
583 |
+
"step": 41
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.33,
|
587 |
+
"learning_rate": 8.888888888888889e-05,
|
588 |
+
"loss": 0.9088,
|
589 |
+
"step": 42
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 0.33,
|
593 |
+
"eval_loss": 1.0613280534744263,
|
594 |
+
"eval_runtime": 11.4272,
|
595 |
+
"eval_samples_per_second": 4.988,
|
596 |
+
"eval_steps_per_second": 1.663,
|
597 |
+
"step": 42
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.34,
|
601 |
+
"learning_rate": 8.862433862433864e-05,
|
602 |
+
"loss": 0.91,
|
603 |
+
"step": 43
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.34,
|
607 |
+
"eval_loss": 1.057435154914856,
|
608 |
+
"eval_runtime": 11.2452,
|
609 |
+
"eval_samples_per_second": 5.069,
|
610 |
+
"eval_steps_per_second": 1.69,
|
611 |
+
"step": 43
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.35,
|
615 |
+
"learning_rate": 8.835978835978837e-05,
|
616 |
+
"loss": 1.0241,
|
617 |
+
"step": 44
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.35,
|
621 |
+
"eval_loss": 1.0551300048828125,
|
622 |
+
"eval_runtime": 11.2229,
|
623 |
+
"eval_samples_per_second": 5.079,
|
624 |
+
"eval_steps_per_second": 1.693,
|
625 |
+
"step": 44
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.36,
|
629 |
+
"learning_rate": 8.80952380952381e-05,
|
630 |
+
"loss": 1.0352,
|
631 |
+
"step": 45
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.36,
|
635 |
+
"eval_loss": 1.0539908409118652,
|
636 |
+
"eval_runtime": 11.3835,
|
637 |
+
"eval_samples_per_second": 5.007,
|
638 |
+
"eval_steps_per_second": 1.669,
|
639 |
+
"step": 45
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.37,
|
643 |
+
"learning_rate": 8.783068783068782e-05,
|
644 |
+
"loss": 1.0175,
|
645 |
+
"step": 46
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.37,
|
649 |
+
"eval_loss": 1.0538028478622437,
|
650 |
+
"eval_runtime": 11.3312,
|
651 |
+
"eval_samples_per_second": 5.03,
|
652 |
+
"eval_steps_per_second": 1.677,
|
653 |
+
"step": 46
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.37,
|
657 |
+
"learning_rate": 8.756613756613758e-05,
|
658 |
+
"loss": 0.9668,
|
659 |
+
"step": 47
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.37,
|
663 |
+
"eval_loss": 1.0534106492996216,
|
664 |
+
"eval_runtime": 11.2714,
|
665 |
+
"eval_samples_per_second": 5.057,
|
666 |
+
"eval_steps_per_second": 1.686,
|
667 |
+
"step": 47
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.38,
|
671 |
+
"learning_rate": 8.730158730158731e-05,
|
672 |
+
"loss": 1.0426,
|
673 |
+
"step": 48
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.38,
|
677 |
+
"eval_loss": 1.052772045135498,
|
678 |
+
"eval_runtime": 11.2543,
|
679 |
+
"eval_samples_per_second": 5.065,
|
680 |
+
"eval_steps_per_second": 1.688,
|
681 |
+
"step": 48
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.39,
|
685 |
+
"learning_rate": 8.703703703703704e-05,
|
686 |
+
"loss": 1.0044,
|
687 |
+
"step": 49
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.39,
|
691 |
+
"eval_loss": 1.0515741109848022,
|
692 |
+
"eval_runtime": 11.3376,
|
693 |
+
"eval_samples_per_second": 5.028,
|
694 |
+
"eval_steps_per_second": 1.676,
|
695 |
+
"step": 49
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.4,
|
699 |
+
"learning_rate": 8.677248677248677e-05,
|
700 |
+
"loss": 1.0367,
|
701 |
+
"step": 50
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 0.4,
|
705 |
+
"eval_loss": 1.049968957901001,
|
706 |
+
"eval_runtime": 11.2567,
|
707 |
+
"eval_samples_per_second": 5.064,
|
708 |
+
"eval_steps_per_second": 1.688,
|
709 |
+
"step": 50
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.4,
|
713 |
+
"learning_rate": 8.650793650793651e-05,
|
714 |
+
"loss": 1.1123,
|
715 |
+
"step": 51
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 0.4,
|
719 |
+
"eval_loss": 1.0470366477966309,
|
720 |
+
"eval_runtime": 11.1206,
|
721 |
+
"eval_samples_per_second": 5.126,
|
722 |
+
"eval_steps_per_second": 1.709,
|
723 |
+
"step": 51
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.41,
|
727 |
+
"learning_rate": 8.624338624338625e-05,
|
728 |
+
"loss": 1.0706,
|
729 |
+
"step": 52
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.41,
|
733 |
+
"eval_loss": 1.0442218780517578,
|
734 |
+
"eval_runtime": 11.2711,
|
735 |
+
"eval_samples_per_second": 5.057,
|
736 |
+
"eval_steps_per_second": 1.686,
|
737 |
+
"step": 52
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.42,
|
741 |
+
"learning_rate": 8.597883597883598e-05,
|
742 |
+
"loss": 0.9999,
|
743 |
+
"step": 53
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.42,
|
747 |
+
"eval_loss": 1.0409353971481323,
|
748 |
+
"eval_runtime": 11.2516,
|
749 |
+
"eval_samples_per_second": 5.066,
|
750 |
+
"eval_steps_per_second": 1.689,
|
751 |
+
"step": 53
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.43,
|
755 |
+
"learning_rate": 8.571428571428571e-05,
|
756 |
+
"loss": 1.0905,
|
757 |
+
"step": 54
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.43,
|
761 |
+
"eval_loss": 1.0385661125183105,
|
762 |
+
"eval_runtime": 11.328,
|
763 |
+
"eval_samples_per_second": 5.032,
|
764 |
+
"eval_steps_per_second": 1.677,
|
765 |
+
"step": 54
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.44,
|
769 |
+
"learning_rate": 8.544973544973546e-05,
|
770 |
+
"loss": 0.8978,
|
771 |
+
"step": 55
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.44,
|
775 |
+
"eval_loss": 1.0356653928756714,
|
776 |
+
"eval_runtime": 11.3452,
|
777 |
+
"eval_samples_per_second": 5.024,
|
778 |
+
"eval_steps_per_second": 1.675,
|
779 |
+
"step": 55
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.44,
|
783 |
+
"learning_rate": 8.518518518518518e-05,
|
784 |
+
"loss": 1.0951,
|
785 |
+
"step": 56
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.44,
|
789 |
+
"eval_loss": 1.0337508916854858,
|
790 |
+
"eval_runtime": 11.2553,
|
791 |
+
"eval_samples_per_second": 5.064,
|
792 |
+
"eval_steps_per_second": 1.688,
|
793 |
+
"step": 56
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.45,
|
797 |
+
"learning_rate": 8.492063492063493e-05,
|
798 |
+
"loss": 0.978,
|
799 |
+
"step": 57
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 0.45,
|
803 |
+
"eval_loss": 1.031426191329956,
|
804 |
+
"eval_runtime": 11.3396,
|
805 |
+
"eval_samples_per_second": 5.027,
|
806 |
+
"eval_steps_per_second": 1.676,
|
807 |
+
"step": 57
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.46,
|
811 |
+
"learning_rate": 8.465608465608466e-05,
|
812 |
+
"loss": 0.9974,
|
813 |
+
"step": 58
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.46,
|
817 |
+
"eval_loss": 1.0299843549728394,
|
818 |
+
"eval_runtime": 11.3892,
|
819 |
+
"eval_samples_per_second": 5.005,
|
820 |
+
"eval_steps_per_second": 1.668,
|
821 |
+
"step": 58
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.47,
|
825 |
+
"learning_rate": 8.43915343915344e-05,
|
826 |
+
"loss": 0.9869,
|
827 |
+
"step": 59
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.47,
|
831 |
+
"eval_loss": 1.0282464027404785,
|
832 |
+
"eval_runtime": 11.2739,
|
833 |
+
"eval_samples_per_second": 5.056,
|
834 |
+
"eval_steps_per_second": 1.685,
|
835 |
+
"step": 59
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.48,
|
839 |
+
"learning_rate": 8.412698412698413e-05,
|
840 |
+
"loss": 1.0325,
|
841 |
+
"step": 60
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.48,
|
845 |
+
"eval_loss": 1.0266135931015015,
|
846 |
+
"eval_runtime": 11.2367,
|
847 |
+
"eval_samples_per_second": 5.073,
|
848 |
+
"eval_steps_per_second": 1.691,
|
849 |
+
"step": 60
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.48,
|
853 |
+
"learning_rate": 8.386243386243386e-05,
|
854 |
+
"loss": 1.0886,
|
855 |
+
"step": 61
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.48,
|
859 |
+
"eval_loss": 1.0231937170028687,
|
860 |
+
"eval_runtime": 11.3652,
|
861 |
+
"eval_samples_per_second": 5.015,
|
862 |
+
"eval_steps_per_second": 1.672,
|
863 |
+
"step": 61
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.49,
|
867 |
+
"learning_rate": 8.35978835978836e-05,
|
868 |
+
"loss": 1.1033,
|
869 |
+
"step": 62
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.49,
|
873 |
+
"eval_loss": 1.0222442150115967,
|
874 |
+
"eval_runtime": 11.2493,
|
875 |
+
"eval_samples_per_second": 5.067,
|
876 |
+
"eval_steps_per_second": 1.689,
|
877 |
+
"step": 62
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.5,
|
881 |
+
"learning_rate": 8.333333333333334e-05,
|
882 |
+
"loss": 1.0087,
|
883 |
+
"step": 63
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 0.5,
|
887 |
+
"eval_loss": 1.020636796951294,
|
888 |
+
"eval_runtime": 11.2865,
|
889 |
+
"eval_samples_per_second": 5.05,
|
890 |
+
"eval_steps_per_second": 1.683,
|
891 |
+
"step": 63
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.51,
|
895 |
+
"learning_rate": 8.306878306878307e-05,
|
896 |
+
"loss": 0.8476,
|
897 |
+
"step": 64
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.51,
|
901 |
+
"eval_loss": 1.0187979936599731,
|
902 |
+
"eval_runtime": 11.289,
|
903 |
+
"eval_samples_per_second": 5.049,
|
904 |
+
"eval_steps_per_second": 1.683,
|
905 |
+
"step": 64
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.52,
|
909 |
+
"learning_rate": 8.28042328042328e-05,
|
910 |
+
"loss": 0.9543,
|
911 |
+
"step": 65
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.52,
|
915 |
+
"eval_loss": 1.0155143737792969,
|
916 |
+
"eval_runtime": 11.2374,
|
917 |
+
"eval_samples_per_second": 5.072,
|
918 |
+
"eval_steps_per_second": 1.691,
|
919 |
+
"step": 65
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.52,
|
923 |
+
"learning_rate": 8.253968253968255e-05,
|
924 |
+
"loss": 0.933,
|
925 |
+
"step": 66
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.52,
|
929 |
+
"eval_loss": 1.0131887197494507,
|
930 |
+
"eval_runtime": 11.2775,
|
931 |
+
"eval_samples_per_second": 5.054,
|
932 |
+
"eval_steps_per_second": 1.685,
|
933 |
+
"step": 66
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.53,
|
937 |
+
"learning_rate": 8.227513227513229e-05,
|
938 |
+
"loss": 1.0186,
|
939 |
+
"step": 67
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.53,
|
943 |
+
"eval_loss": 1.0090850591659546,
|
944 |
+
"eval_runtime": 11.3677,
|
945 |
+
"eval_samples_per_second": 5.014,
|
946 |
+
"eval_steps_per_second": 1.671,
|
947 |
+
"step": 67
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.54,
|
951 |
+
"learning_rate": 8.201058201058202e-05,
|
952 |
+
"loss": 0.9425,
|
953 |
+
"step": 68
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.54,
|
957 |
+
"eval_loss": 1.0056878328323364,
|
958 |
+
"eval_runtime": 11.0888,
|
959 |
+
"eval_samples_per_second": 5.14,
|
960 |
+
"eval_steps_per_second": 1.713,
|
961 |
+
"step": 68
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.55,
|
965 |
+
"learning_rate": 8.174603174603175e-05,
|
966 |
+
"loss": 0.9943,
|
967 |
+
"step": 69
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 0.55,
|
971 |
+
"eval_loss": 1.0025955438613892,
|
972 |
+
"eval_runtime": 11.2572,
|
973 |
+
"eval_samples_per_second": 5.063,
|
974 |
+
"eval_steps_per_second": 1.688,
|
975 |
+
"step": 69
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.56,
|
979 |
+
"learning_rate": 8.148148148148148e-05,
|
980 |
+
"loss": 1.1287,
|
981 |
+
"step": 70
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.56,
|
985 |
+
"eval_loss": 1.0005890130996704,
|
986 |
+
"eval_runtime": 11.2495,
|
987 |
+
"eval_samples_per_second": 5.067,
|
988 |
+
"eval_steps_per_second": 1.689,
|
989 |
+
"step": 70
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.56,
|
993 |
+
"learning_rate": 8.121693121693122e-05,
|
994 |
+
"loss": 1.0688,
|
995 |
+
"step": 71
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.56,
|
999 |
+
"eval_loss": 0.9989040493965149,
|
1000 |
+
"eval_runtime": 11.2643,
|
1001 |
+
"eval_samples_per_second": 5.06,
|
1002 |
+
"eval_steps_per_second": 1.687,
|
1003 |
+
"step": 71
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.57,
|
1007 |
+
"learning_rate": 8.095238095238096e-05,
|
1008 |
+
"loss": 1.0818,
|
1009 |
+
"step": 72
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.57,
|
1013 |
+
"eval_loss": 0.9982772469520569,
|
1014 |
+
"eval_runtime": 11.121,
|
1015 |
+
"eval_samples_per_second": 5.125,
|
1016 |
+
"eval_steps_per_second": 1.708,
|
1017 |
+
"step": 72
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.58,
|
1021 |
+
"learning_rate": 8.068783068783069e-05,
|
1022 |
+
"loss": 0.9234,
|
1023 |
+
"step": 73
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.58,
|
1027 |
+
"eval_loss": 0.9961081147193909,
|
1028 |
+
"eval_runtime": 11.268,
|
1029 |
+
"eval_samples_per_second": 5.059,
|
1030 |
+
"eval_steps_per_second": 1.686,
|
1031 |
+
"step": 73
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.59,
|
1035 |
+
"learning_rate": 8.042328042328042e-05,
|
1036 |
+
"loss": 0.9169,
|
1037 |
+
"step": 74
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.59,
|
1041 |
+
"eval_loss": 0.9951977729797363,
|
1042 |
+
"eval_runtime": 11.3425,
|
1043 |
+
"eval_samples_per_second": 5.025,
|
1044 |
+
"eval_steps_per_second": 1.675,
|
1045 |
+
"step": 74
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.6,
|
1049 |
+
"learning_rate": 8.015873015873016e-05,
|
1050 |
+
"loss": 0.8732,
|
1051 |
+
"step": 75
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.6,
|
1055 |
+
"eval_loss": 0.9947168827056885,
|
1056 |
+
"eval_runtime": 11.4976,
|
1057 |
+
"eval_samples_per_second": 4.958,
|
1058 |
+
"eval_steps_per_second": 1.653,
|
1059 |
+
"step": 75
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.6,
|
1063 |
+
"learning_rate": 7.989417989417989e-05,
|
1064 |
+
"loss": 1.1112,
|
1065 |
+
"step": 76
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.6,
|
1069 |
+
"eval_loss": 0.9937358498573303,
|
1070 |
+
"eval_runtime": 11.2157,
|
1071 |
+
"eval_samples_per_second": 5.082,
|
1072 |
+
"eval_steps_per_second": 1.694,
|
1073 |
+
"step": 76
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.61,
|
1077 |
+
"learning_rate": 7.962962962962964e-05,
|
1078 |
+
"loss": 1.0538,
|
1079 |
+
"step": 77
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.61,
|
1083 |
+
"eval_loss": 0.992274284362793,
|
1084 |
+
"eval_runtime": 11.3598,
|
1085 |
+
"eval_samples_per_second": 5.018,
|
1086 |
+
"eval_steps_per_second": 1.673,
|
1087 |
+
"step": 77
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.62,
|
1091 |
+
"learning_rate": 7.936507936507937e-05,
|
1092 |
+
"loss": 1.0636,
|
1093 |
+
"step": 78
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.62,
|
1097 |
+
"eval_loss": 0.9908178448677063,
|
1098 |
+
"eval_runtime": 11.0889,
|
1099 |
+
"eval_samples_per_second": 5.14,
|
1100 |
+
"eval_steps_per_second": 1.713,
|
1101 |
+
"step": 78
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.63,
|
1105 |
+
"learning_rate": 7.910052910052911e-05,
|
1106 |
+
"loss": 0.9079,
|
1107 |
+
"step": 79
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.63,
|
1111 |
+
"eval_loss": 0.9905064105987549,
|
1112 |
+
"eval_runtime": 11.1638,
|
1113 |
+
"eval_samples_per_second": 5.106,
|
1114 |
+
"eval_steps_per_second": 1.702,
|
1115 |
+
"step": 79
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.63,
|
1119 |
+
"learning_rate": 7.883597883597884e-05,
|
1120 |
+
"loss": 0.9104,
|
1121 |
+
"step": 80
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.63,
|
1125 |
+
"eval_loss": 0.989557683467865,
|
1126 |
+
"eval_runtime": 11.4363,
|
1127 |
+
"eval_samples_per_second": 4.984,
|
1128 |
+
"eval_steps_per_second": 1.661,
|
1129 |
+
"step": 80
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.64,
|
1133 |
+
"learning_rate": 7.857142857142858e-05,
|
1134 |
+
"loss": 0.9058,
|
1135 |
+
"step": 81
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 0.64,
|
1139 |
+
"eval_loss": 0.9902251958847046,
|
1140 |
+
"eval_runtime": 11.4861,
|
1141 |
+
"eval_samples_per_second": 4.963,
|
1142 |
+
"eval_steps_per_second": 1.654,
|
1143 |
+
"step": 81
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.65,
|
1147 |
+
"learning_rate": 7.830687830687831e-05,
|
1148 |
+
"loss": 0.9653,
|
1149 |
+
"step": 82
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.65,
|
1153 |
+
"eval_loss": 0.9908925294876099,
|
1154 |
+
"eval_runtime": 11.56,
|
1155 |
+
"eval_samples_per_second": 4.931,
|
1156 |
+
"eval_steps_per_second": 1.644,
|
1157 |
+
"step": 82
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.66,
|
1161 |
+
"learning_rate": 7.804232804232805e-05,
|
1162 |
+
"loss": 0.8773,
|
1163 |
+
"step": 83
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 0.66,
|
1167 |
+
"eval_loss": 0.9919198751449585,
|
1168 |
+
"eval_runtime": 11.6172,
|
1169 |
+
"eval_samples_per_second": 4.906,
|
1170 |
+
"eval_steps_per_second": 1.635,
|
1171 |
+
"step": 83
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.67,
|
1175 |
+
"learning_rate": 7.777777777777778e-05,
|
1176 |
+
"loss": 0.7942,
|
1177 |
+
"step": 84
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 0.67,
|
1181 |
+
"eval_loss": 0.9942153096199036,
|
1182 |
+
"eval_runtime": 11.3584,
|
1183 |
+
"eval_samples_per_second": 5.018,
|
1184 |
+
"eval_steps_per_second": 1.673,
|
1185 |
+
"step": 84
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.67,
|
1189 |
+
"learning_rate": 7.751322751322751e-05,
|
1190 |
+
"loss": 0.894,
|
1191 |
+
"step": 85
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.67,
|
1195 |
+
"eval_loss": 0.9940976500511169,
|
1196 |
+
"eval_runtime": 11.4867,
|
1197 |
+
"eval_samples_per_second": 4.962,
|
1198 |
+
"eval_steps_per_second": 1.654,
|
1199 |
+
"step": 85
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.68,
|
1203 |
+
"learning_rate": 7.724867724867725e-05,
|
1204 |
+
"loss": 1.0039,
|
1205 |
+
"step": 86
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 0.68,
|
1209 |
+
"eval_loss": 0.9931285977363586,
|
1210 |
+
"eval_runtime": 11.171,
|
1211 |
+
"eval_samples_per_second": 5.102,
|
1212 |
+
"eval_steps_per_second": 1.701,
|
1213 |
+
"step": 86
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.69,
|
1217 |
+
"learning_rate": 7.6984126984127e-05,
|
1218 |
+
"loss": 1.0113,
|
1219 |
+
"step": 87
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 0.69,
|
1223 |
+
"eval_loss": 0.9918901324272156,
|
1224 |
+
"eval_runtime": 11.2632,
|
1225 |
+
"eval_samples_per_second": 5.061,
|
1226 |
+
"eval_steps_per_second": 1.687,
|
1227 |
+
"step": 87
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.7,
|
1231 |
+
"learning_rate": 7.671957671957673e-05,
|
1232 |
+
"loss": 1.1145,
|
1233 |
+
"step": 88
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.7,
|
1237 |
+
"eval_loss": 0.9903886318206787,
|
1238 |
+
"eval_runtime": 11.3871,
|
1239 |
+
"eval_samples_per_second": 5.006,
|
1240 |
+
"eval_steps_per_second": 1.669,
|
1241 |
+
"step": 88
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.71,
|
1245 |
+
"learning_rate": 7.645502645502646e-05,
|
1246 |
+
"loss": 0.8794,
|
1247 |
+
"step": 89
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 0.71,
|
1251 |
+
"eval_loss": 0.9867441058158875,
|
1252 |
+
"eval_runtime": 11.5122,
|
1253 |
+
"eval_samples_per_second": 4.951,
|
1254 |
+
"eval_steps_per_second": 1.65,
|
1255 |
+
"step": 89
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.71,
|
1259 |
+
"learning_rate": 7.619047619047618e-05,
|
1260 |
+
"loss": 1.1085,
|
1261 |
+
"step": 90
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 0.71,
|
1265 |
+
"eval_loss": 0.9836506843566895,
|
1266 |
+
"eval_runtime": 11.2029,
|
1267 |
+
"eval_samples_per_second": 5.088,
|
1268 |
+
"eval_steps_per_second": 1.696,
|
1269 |
+
"step": 90
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.72,
|
1273 |
+
"learning_rate": 7.592592592592593e-05,
|
1274 |
+
"loss": 0.9683,
|
1275 |
+
"step": 91
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.72,
|
1279 |
+
"eval_loss": 0.9819443225860596,
|
1280 |
+
"eval_runtime": 11.4398,
|
1281 |
+
"eval_samples_per_second": 4.983,
|
1282 |
+
"eval_steps_per_second": 1.661,
|
1283 |
+
"step": 91
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.73,
|
1287 |
+
"learning_rate": 7.566137566137567e-05,
|
1288 |
+
"loss": 0.9378,
|
1289 |
+
"step": 92
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.73,
|
1293 |
+
"eval_loss": 0.9801782369613647,
|
1294 |
+
"eval_runtime": 11.2742,
|
1295 |
+
"eval_samples_per_second": 5.056,
|
1296 |
+
"eval_steps_per_second": 1.685,
|
1297 |
+
"step": 92
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.74,
|
1301 |
+
"learning_rate": 7.53968253968254e-05,
|
1302 |
+
"loss": 1.0159,
|
1303 |
+
"step": 93
|
1304 |
+
},
|
1305 |
+
{
|
1306 |
+
"epoch": 0.74,
|
1307 |
+
"eval_loss": 0.9785143733024597,
|
1308 |
+
"eval_runtime": 11.3247,
|
1309 |
+
"eval_samples_per_second": 5.033,
|
1310 |
+
"eval_steps_per_second": 1.678,
|
1311 |
+
"step": 93
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.75,
|
1315 |
+
"learning_rate": 7.513227513227513e-05,
|
1316 |
+
"loss": 0.8486,
|
1317 |
+
"step": 94
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 0.75,
|
1321 |
+
"eval_loss": 0.9786610007286072,
|
1322 |
+
"eval_runtime": 11.4473,
|
1323 |
+
"eval_samples_per_second": 4.979,
|
1324 |
+
"eval_steps_per_second": 1.66,
|
1325 |
+
"step": 94
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.75,
|
1329 |
+
"learning_rate": 7.486772486772487e-05,
|
1330 |
+
"loss": 1.0572,
|
1331 |
+
"step": 95
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.75,
|
1335 |
+
"eval_loss": 0.9791378974914551,
|
1336 |
+
"eval_runtime": 11.2435,
|
1337 |
+
"eval_samples_per_second": 5.07,
|
1338 |
+
"eval_steps_per_second": 1.69,
|
1339 |
+
"step": 95
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.76,
|
1343 |
+
"learning_rate": 7.460317460317461e-05,
|
1344 |
+
"loss": 0.9379,
|
1345 |
+
"step": 96
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.76,
|
1349 |
+
"eval_loss": 0.9795575141906738,
|
1350 |
+
"eval_runtime": 11.3264,
|
1351 |
+
"eval_samples_per_second": 5.033,
|
1352 |
+
"eval_steps_per_second": 1.678,
|
1353 |
+
"step": 96
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.77,
|
1357 |
+
"learning_rate": 7.433862433862434e-05,
|
1358 |
+
"loss": 0.8751,
|
1359 |
+
"step": 97
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.77,
|
1363 |
+
"eval_loss": 0.9804602265357971,
|
1364 |
+
"eval_runtime": 11.4754,
|
1365 |
+
"eval_samples_per_second": 4.967,
|
1366 |
+
"eval_steps_per_second": 1.656,
|
1367 |
+
"step": 97
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.78,
|
1371 |
+
"learning_rate": 7.407407407407407e-05,
|
1372 |
+
"loss": 0.9252,
|
1373 |
+
"step": 98
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.78,
|
1377 |
+
"eval_loss": 0.9810712933540344,
|
1378 |
+
"eval_runtime": 11.2682,
|
1379 |
+
"eval_samples_per_second": 5.058,
|
1380 |
+
"eval_steps_per_second": 1.686,
|
1381 |
+
"step": 98
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.79,
|
1385 |
+
"learning_rate": 7.380952380952382e-05,
|
1386 |
+
"loss": 0.9204,
|
1387 |
+
"step": 99
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"epoch": 0.79,
|
1391 |
+
"eval_loss": 0.9811252951622009,
|
1392 |
+
"eval_runtime": 11.2452,
|
1393 |
+
"eval_samples_per_second": 5.069,
|
1394 |
+
"eval_steps_per_second": 1.69,
|
1395 |
+
"step": 99
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.79,
|
1399 |
+
"learning_rate": 7.354497354497355e-05,
|
1400 |
+
"loss": 1.0881,
|
1401 |
+
"step": 100
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.79,
|
1405 |
+
"eval_loss": 0.9820334315299988,
|
1406 |
+
"eval_runtime": 11.2336,
|
1407 |
+
"eval_samples_per_second": 5.074,
|
1408 |
+
"eval_steps_per_second": 1.691,
|
1409 |
+
"step": 100
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.8,
|
1413 |
+
"learning_rate": 7.328042328042329e-05,
|
1414 |
+
"loss": 1.0158,
|
1415 |
+
"step": 101
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.8,
|
1419 |
+
"eval_loss": 0.9812192916870117,
|
1420 |
+
"eval_runtime": 11.3196,
|
1421 |
+
"eval_samples_per_second": 5.036,
|
1422 |
+
"eval_steps_per_second": 1.679,
|
1423 |
+
"step": 101
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.81,
|
1427 |
+
"learning_rate": 7.301587301587302e-05,
|
1428 |
+
"loss": 0.9741,
|
1429 |
+
"step": 102
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 0.81,
|
1433 |
+
"eval_loss": 0.9810476303100586,
|
1434 |
+
"eval_runtime": 11.3145,
|
1435 |
+
"eval_samples_per_second": 5.038,
|
1436 |
+
"eval_steps_per_second": 1.679,
|
1437 |
+
"step": 102
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.82,
|
1441 |
+
"learning_rate": 7.275132275132276e-05,
|
1442 |
+
"loss": 0.7926,
|
1443 |
+
"step": 103
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.82,
|
1447 |
+
"eval_loss": 0.9799998998641968,
|
1448 |
+
"eval_runtime": 11.312,
|
1449 |
+
"eval_samples_per_second": 5.039,
|
1450 |
+
"eval_steps_per_second": 1.68,
|
1451 |
+
"step": 103
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.83,
|
1455 |
+
"learning_rate": 7.248677248677249e-05,
|
1456 |
+
"loss": 1.0417,
|
1457 |
+
"step": 104
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.83,
|
1461 |
+
"eval_loss": 0.9790608882904053,
|
1462 |
+
"eval_runtime": 11.3684,
|
1463 |
+
"eval_samples_per_second": 5.014,
|
1464 |
+
"eval_steps_per_second": 1.671,
|
1465 |
+
"step": 104
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.83,
|
1469 |
+
"learning_rate": 7.222222222222222e-05,
|
1470 |
+
"loss": 0.9738,
|
1471 |
+
"step": 105
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 0.83,
|
1475 |
+
"eval_loss": 0.978194534778595,
|
1476 |
+
"eval_runtime": 11.2366,
|
1477 |
+
"eval_samples_per_second": 5.073,
|
1478 |
+
"eval_steps_per_second": 1.691,
|
1479 |
+
"step": 105
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.84,
|
1483 |
+
"learning_rate": 7.195767195767196e-05,
|
1484 |
+
"loss": 0.8303,
|
1485 |
+
"step": 106
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.84,
|
1489 |
+
"eval_loss": 0.9778124690055847,
|
1490 |
+
"eval_runtime": 11.4098,
|
1491 |
+
"eval_samples_per_second": 4.996,
|
1492 |
+
"eval_steps_per_second": 1.665,
|
1493 |
+
"step": 106
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.85,
|
1497 |
+
"learning_rate": 7.16931216931217e-05,
|
1498 |
+
"loss": 0.9291,
|
1499 |
+
"step": 107
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 0.85,
|
1503 |
+
"eval_loss": 0.9771907925605774,
|
1504 |
+
"eval_runtime": 11.2524,
|
1505 |
+
"eval_samples_per_second": 5.066,
|
1506 |
+
"eval_steps_per_second": 1.689,
|
1507 |
+
"step": 107
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.86,
|
1511 |
+
"learning_rate": 7.142857142857143e-05,
|
1512 |
+
"loss": 0.9308,
|
1513 |
+
"step": 108
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 0.86,
|
1517 |
+
"eval_loss": 0.9771039485931396,
|
1518 |
+
"eval_runtime": 11.2551,
|
1519 |
+
"eval_samples_per_second": 5.064,
|
1520 |
+
"eval_steps_per_second": 1.688,
|
1521 |
+
"step": 108
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.87,
|
1525 |
+
"learning_rate": 7.116402116402116e-05,
|
1526 |
+
"loss": 1.1245,
|
1527 |
+
"step": 109
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 0.87,
|
1531 |
+
"eval_loss": 0.9759649038314819,
|
1532 |
+
"eval_runtime": 11.2261,
|
1533 |
+
"eval_samples_per_second": 5.077,
|
1534 |
+
"eval_steps_per_second": 1.692,
|
1535 |
+
"step": 109
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.87,
|
1539 |
+
"learning_rate": 7.089947089947089e-05,
|
1540 |
+
"loss": 0.8853,
|
1541 |
+
"step": 110
|
1542 |
+
},
|
1543 |
+
{
|
1544 |
+
"epoch": 0.87,
|
1545 |
+
"eval_loss": 0.9750571250915527,
|
1546 |
+
"eval_runtime": 11.2982,
|
1547 |
+
"eval_samples_per_second": 5.045,
|
1548 |
+
"eval_steps_per_second": 1.682,
|
1549 |
+
"step": 110
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.88,
|
1553 |
+
"learning_rate": 7.063492063492065e-05,
|
1554 |
+
"loss": 0.9007,
|
1555 |
+
"step": 111
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 0.88,
|
1559 |
+
"eval_loss": 0.9742787480354309,
|
1560 |
+
"eval_runtime": 11.564,
|
1561 |
+
"eval_samples_per_second": 4.929,
|
1562 |
+
"eval_steps_per_second": 1.643,
|
1563 |
+
"step": 111
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.89,
|
1567 |
+
"learning_rate": 7.037037037037038e-05,
|
1568 |
+
"loss": 0.8941,
|
1569 |
+
"step": 112
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.89,
|
1573 |
+
"eval_loss": 0.9725750684738159,
|
1574 |
+
"eval_runtime": 11.2109,
|
1575 |
+
"eval_samples_per_second": 5.084,
|
1576 |
+
"eval_steps_per_second": 1.695,
|
1577 |
+
"step": 112
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.9,
|
1581 |
+
"learning_rate": 7.010582010582011e-05,
|
1582 |
+
"loss": 1.0456,
|
1583 |
+
"step": 113
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 0.9,
|
1587 |
+
"eval_loss": 0.970888614654541,
|
1588 |
+
"eval_runtime": 11.2158,
|
1589 |
+
"eval_samples_per_second": 5.082,
|
1590 |
+
"eval_steps_per_second": 1.694,
|
1591 |
+
"step": 113
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.9,
|
1595 |
+
"learning_rate": 6.984126984126984e-05,
|
1596 |
+
"loss": 1.0988,
|
1597 |
+
"step": 114
|
1598 |
+
},
|
1599 |
+
{
|
1600 |
+
"epoch": 0.9,
|
1601 |
+
"eval_loss": 0.9695295095443726,
|
1602 |
+
"eval_runtime": 11.1973,
|
1603 |
+
"eval_samples_per_second": 5.091,
|
1604 |
+
"eval_steps_per_second": 1.697,
|
1605 |
+
"step": 114
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.91,
|
1609 |
+
"learning_rate": 6.957671957671958e-05,
|
1610 |
+
"loss": 0.9967,
|
1611 |
+
"step": 115
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.91,
|
1615 |
+
"eval_loss": 0.9678014516830444,
|
1616 |
+
"eval_runtime": 11.1632,
|
1617 |
+
"eval_samples_per_second": 5.106,
|
1618 |
+
"eval_steps_per_second": 1.702,
|
1619 |
+
"step": 115
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.92,
|
1623 |
+
"learning_rate": 6.931216931216932e-05,
|
1624 |
+
"loss": 0.9641,
|
1625 |
+
"step": 116
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 0.92,
|
1629 |
+
"eval_loss": 0.9670316576957703,
|
1630 |
+
"eval_runtime": 11.1753,
|
1631 |
+
"eval_samples_per_second": 5.101,
|
1632 |
+
"eval_steps_per_second": 1.7,
|
1633 |
+
"step": 116
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.93,
|
1637 |
+
"learning_rate": 6.904761904761905e-05,
|
1638 |
+
"loss": 0.8927,
|
1639 |
+
"step": 117
|
1640 |
+
},
|
1641 |
+
{
|
1642 |
+
"epoch": 0.93,
|
1643 |
+
"eval_loss": 0.965987503528595,
|
1644 |
+
"eval_runtime": 11.4765,
|
1645 |
+
"eval_samples_per_second": 4.967,
|
1646 |
+
"eval_steps_per_second": 1.656,
|
1647 |
+
"step": 117
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.94,
|
1651 |
+
"learning_rate": 6.878306878306878e-05,
|
1652 |
+
"loss": 1.0487,
|
1653 |
+
"step": 118
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.94,
|
1657 |
+
"eval_loss": 0.9654714465141296,
|
1658 |
+
"eval_runtime": 11.3628,
|
1659 |
+
"eval_samples_per_second": 5.016,
|
1660 |
+
"eval_steps_per_second": 1.672,
|
1661 |
+
"step": 118
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.94,
|
1665 |
+
"learning_rate": 6.851851851851852e-05,
|
1666 |
+
"loss": 0.9565,
|
1667 |
+
"step": 119
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 0.94,
|
1671 |
+
"eval_loss": 0.9648447036743164,
|
1672 |
+
"eval_runtime": 11.2817,
|
1673 |
+
"eval_samples_per_second": 5.052,
|
1674 |
+
"eval_steps_per_second": 1.684,
|
1675 |
+
"step": 119
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.95,
|
1679 |
+
"learning_rate": 6.825396825396825e-05,
|
1680 |
+
"loss": 1.0075,
|
1681 |
+
"step": 120
|
1682 |
+
},
|
1683 |
+
{
|
1684 |
+
"epoch": 0.95,
|
1685 |
+
"eval_loss": 0.96305912733078,
|
1686 |
+
"eval_runtime": 11.1896,
|
1687 |
+
"eval_samples_per_second": 5.094,
|
1688 |
+
"eval_steps_per_second": 1.698,
|
1689 |
+
"step": 120
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.96,
|
1693 |
+
"learning_rate": 6.7989417989418e-05,
|
1694 |
+
"loss": 0.8491,
|
1695 |
+
"step": 121
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 0.96,
|
1699 |
+
"eval_loss": 0.9615995287895203,
|
1700 |
+
"eval_runtime": 11.2744,
|
1701 |
+
"eval_samples_per_second": 5.056,
|
1702 |
+
"eval_steps_per_second": 1.685,
|
1703 |
+
"step": 121
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.97,
|
1707 |
+
"learning_rate": 6.772486772486773e-05,
|
1708 |
+
"loss": 0.9697,
|
1709 |
+
"step": 122
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 0.97,
|
1713 |
+
"eval_loss": 0.9624088406562805,
|
1714 |
+
"eval_runtime": 11.2628,
|
1715 |
+
"eval_samples_per_second": 5.061,
|
1716 |
+
"eval_steps_per_second": 1.687,
|
1717 |
+
"step": 122
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.98,
|
1721 |
+
"learning_rate": 6.746031746031747e-05,
|
1722 |
+
"loss": 0.9846,
|
1723 |
+
"step": 123
|
1724 |
+
},
|
1725 |
+
{
|
1726 |
+
"epoch": 0.98,
|
1727 |
+
"eval_loss": 0.9619339108467102,
|
1728 |
+
"eval_runtime": 11.1615,
|
1729 |
+
"eval_samples_per_second": 5.107,
|
1730 |
+
"eval_steps_per_second": 1.702,
|
1731 |
+
"step": 123
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.98,
|
1735 |
+
"learning_rate": 6.71957671957672e-05,
|
1736 |
+
"loss": 0.9166,
|
1737 |
+
"step": 124
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.98,
|
1741 |
+
"eval_loss": 0.9619455933570862,
|
1742 |
+
"eval_runtime": 11.1285,
|
1743 |
+
"eval_samples_per_second": 5.122,
|
1744 |
+
"eval_steps_per_second": 1.707,
|
1745 |
+
"step": 124
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.99,
|
1749 |
+
"learning_rate": 6.693121693121693e-05,
|
1750 |
+
"loss": 0.8547,
|
1751 |
+
"step": 125
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 0.99,
|
1755 |
+
"eval_loss": 0.9620954990386963,
|
1756 |
+
"eval_runtime": 11.2673,
|
1757 |
+
"eval_samples_per_second": 5.059,
|
1758 |
+
"eval_steps_per_second": 1.686,
|
1759 |
+
"step": 125
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 1.0,
|
1763 |
+
"learning_rate": 6.666666666666667e-05,
|
1764 |
+
"loss": 0.9433,
|
1765 |
+
"step": 126
|
1766 |
+
},
|
1767 |
+
{
|
1768 |
+
"epoch": 1.0,
|
1769 |
+
"eval_loss": 0.9631038308143616,
|
1770 |
+
"eval_runtime": 11.2502,
|
1771 |
+
"eval_samples_per_second": 5.067,
|
1772 |
+
"eval_steps_per_second": 1.689,
|
1773 |
+
"step": 126
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 1.01,
|
1777 |
+
"learning_rate": 6.640211640211641e-05,
|
1778 |
+
"loss": 0.7734,
|
1779 |
+
"step": 127
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 1.01,
|
1783 |
+
"eval_loss": 0.9639068841934204,
|
1784 |
+
"eval_runtime": 11.3228,
|
1785 |
+
"eval_samples_per_second": 5.034,
|
1786 |
+
"eval_steps_per_second": 1.678,
|
1787 |
+
"step": 127
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 1.02,
|
1791 |
+
"learning_rate": 6.613756613756614e-05,
|
1792 |
+
"loss": 0.8896,
|
1793 |
+
"step": 128
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 1.02,
|
1797 |
+
"eval_loss": 0.9645029306411743,
|
1798 |
+
"eval_runtime": 11.5577,
|
1799 |
+
"eval_samples_per_second": 4.932,
|
1800 |
+
"eval_steps_per_second": 1.644,
|
1801 |
+
"step": 128
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 1.02,
|
1805 |
+
"learning_rate": 6.587301587301587e-05,
|
1806 |
+
"loss": 0.8125,
|
1807 |
+
"step": 129
|
1808 |
+
},
|
1809 |
+
{
|
1810 |
+
"epoch": 1.02,
|
1811 |
+
"eval_loss": 0.9654971361160278,
|
1812 |
+
"eval_runtime": 11.3486,
|
1813 |
+
"eval_samples_per_second": 5.023,
|
1814 |
+
"eval_steps_per_second": 1.674,
|
1815 |
+
"step": 129
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 1.03,
|
1819 |
+
"learning_rate": 6.560846560846561e-05,
|
1820 |
+
"loss": 0.9779,
|
1821 |
+
"step": 130
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 1.03,
|
1825 |
+
"eval_loss": 0.9669473767280579,
|
1826 |
+
"eval_runtime": 11.2418,
|
1827 |
+
"eval_samples_per_second": 5.07,
|
1828 |
+
"eval_steps_per_second": 1.69,
|
1829 |
+
"step": 130
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 1.04,
|
1833 |
+
"learning_rate": 6.534391534391536e-05,
|
1834 |
+
"loss": 0.8023,
|
1835 |
+
"step": 131
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 1.04,
|
1839 |
+
"eval_loss": 0.9675314426422119,
|
1840 |
+
"eval_runtime": 11.3422,
|
1841 |
+
"eval_samples_per_second": 5.025,
|
1842 |
+
"eval_steps_per_second": 1.675,
|
1843 |
+
"step": 131
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 1.05,
|
1847 |
+
"learning_rate": 6.507936507936509e-05,
|
1848 |
+
"loss": 0.9203,
|
1849 |
+
"step": 132
|
1850 |
+
},
|
1851 |
+
{
|
1852 |
+
"epoch": 1.05,
|
1853 |
+
"eval_loss": 0.9673454165458679,
|
1854 |
+
"eval_runtime": 11.2406,
|
1855 |
+
"eval_samples_per_second": 5.071,
|
1856 |
+
"eval_steps_per_second": 1.69,
|
1857 |
+
"step": 132
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 1.06,
|
1861 |
+
"learning_rate": 6.481481481481482e-05,
|
1862 |
+
"loss": 0.9531,
|
1863 |
+
"step": 133
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 1.06,
|
1867 |
+
"eval_loss": 0.9672001004219055,
|
1868 |
+
"eval_runtime": 11.38,
|
1869 |
+
"eval_samples_per_second": 5.009,
|
1870 |
+
"eval_steps_per_second": 1.67,
|
1871 |
+
"step": 133
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 1.06,
|
1875 |
+
"learning_rate": 6.455026455026454e-05,
|
1876 |
+
"loss": 0.7756,
|
1877 |
+
"step": 134
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 1.06,
|
1881 |
+
"eval_loss": 0.9666074514389038,
|
1882 |
+
"eval_runtime": 11.1727,
|
1883 |
+
"eval_samples_per_second": 5.102,
|
1884 |
+
"eval_steps_per_second": 1.701,
|
1885 |
+
"step": 134
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 1.07,
|
1889 |
+
"learning_rate": 6.428571428571429e-05,
|
1890 |
+
"loss": 0.7395,
|
1891 |
+
"step": 135
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 1.07,
|
1895 |
+
"eval_loss": 0.9651405215263367,
|
1896 |
+
"eval_runtime": 11.3323,
|
1897 |
+
"eval_samples_per_second": 5.03,
|
1898 |
+
"eval_steps_per_second": 1.677,
|
1899 |
+
"step": 135
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 1.08,
|
1903 |
+
"learning_rate": 6.402116402116403e-05,
|
1904 |
+
"loss": 0.8366,
|
1905 |
+
"step": 136
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 1.08,
|
1909 |
+
"eval_loss": 0.965033769607544,
|
1910 |
+
"eval_runtime": 11.2585,
|
1911 |
+
"eval_samples_per_second": 5.063,
|
1912 |
+
"eval_steps_per_second": 1.688,
|
1913 |
+
"step": 136
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 1.09,
|
1917 |
+
"learning_rate": 6.375661375661376e-05,
|
1918 |
+
"loss": 0.9231,
|
1919 |
+
"step": 137
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 1.09,
|
1923 |
+
"eval_loss": 0.9626837372779846,
|
1924 |
+
"eval_runtime": 11.1354,
|
1925 |
+
"eval_samples_per_second": 5.119,
|
1926 |
+
"eval_steps_per_second": 1.706,
|
1927 |
+
"step": 137
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 1.1,
|
1931 |
+
"learning_rate": 6.349206349206349e-05,
|
1932 |
+
"loss": 0.8717,
|
1933 |
+
"step": 138
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 1.1,
|
1937 |
+
"eval_loss": 0.9614263772964478,
|
1938 |
+
"eval_runtime": 11.2272,
|
1939 |
+
"eval_samples_per_second": 5.077,
|
1940 |
+
"eval_steps_per_second": 1.692,
|
1941 |
+
"step": 138
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 1.1,
|
1945 |
+
"learning_rate": 6.322751322751323e-05,
|
1946 |
+
"loss": 0.8157,
|
1947 |
+
"step": 139
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 1.1,
|
1951 |
+
"eval_loss": 0.9611877202987671,
|
1952 |
+
"eval_runtime": 11.3481,
|
1953 |
+
"eval_samples_per_second": 5.023,
|
1954 |
+
"eval_steps_per_second": 1.674,
|
1955 |
+
"step": 139
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 1.11,
|
1959 |
+
"learning_rate": 6.296296296296296e-05,
|
1960 |
+
"loss": 0.8617,
|
1961 |
+
"step": 140
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 1.11,
|
1965 |
+
"eval_loss": 0.9607529044151306,
|
1966 |
+
"eval_runtime": 11.2319,
|
1967 |
+
"eval_samples_per_second": 5.075,
|
1968 |
+
"eval_steps_per_second": 1.692,
|
1969 |
+
"step": 140
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 1.12,
|
1973 |
+
"learning_rate": 6.26984126984127e-05,
|
1974 |
+
"loss": 0.7694,
|
1975 |
+
"step": 141
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 1.12,
|
1979 |
+
"eval_loss": 0.961409866809845,
|
1980 |
+
"eval_runtime": 11.165,
|
1981 |
+
"eval_samples_per_second": 5.105,
|
1982 |
+
"eval_steps_per_second": 1.702,
|
1983 |
+
"step": 141
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 1.13,
|
1987 |
+
"learning_rate": 6.243386243386243e-05,
|
1988 |
+
"loss": 0.8626,
|
1989 |
+
"step": 142
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 1.13,
|
1993 |
+
"eval_loss": 0.9628212451934814,
|
1994 |
+
"eval_runtime": 11.2138,
|
1995 |
+
"eval_samples_per_second": 5.083,
|
1996 |
+
"eval_steps_per_second": 1.694,
|
1997 |
+
"step": 142
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 1.13,
|
2001 |
+
"learning_rate": 6.216931216931218e-05,
|
2002 |
+
"loss": 0.909,
|
2003 |
+
"step": 143
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 1.13,
|
2007 |
+
"eval_loss": 0.9622757434844971,
|
2008 |
+
"eval_runtime": 11.3331,
|
2009 |
+
"eval_samples_per_second": 5.03,
|
2010 |
+
"eval_steps_per_second": 1.677,
|
2011 |
+
"step": 143
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 1.14,
|
2015 |
+
"learning_rate": 6.19047619047619e-05,
|
2016 |
+
"loss": 0.8004,
|
2017 |
+
"step": 144
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 1.14,
|
2021 |
+
"eval_loss": 0.9607929587364197,
|
2022 |
+
"eval_runtime": 11.2614,
|
2023 |
+
"eval_samples_per_second": 5.062,
|
2024 |
+
"eval_steps_per_second": 1.687,
|
2025 |
+
"step": 144
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 1.15,
|
2029 |
+
"learning_rate": 6.164021164021165e-05,
|
2030 |
+
"loss": 0.8374,
|
2031 |
+
"step": 145
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 1.15,
|
2035 |
+
"eval_loss": 0.9604395627975464,
|
2036 |
+
"eval_runtime": 11.2681,
|
2037 |
+
"eval_samples_per_second": 5.059,
|
2038 |
+
"eval_steps_per_second": 1.686,
|
2039 |
+
"step": 145
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 1.16,
|
2043 |
+
"learning_rate": 6.137566137566138e-05,
|
2044 |
+
"loss": 0.7996,
|
2045 |
+
"step": 146
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 1.16,
|
2049 |
+
"eval_loss": 0.9591620564460754,
|
2050 |
+
"eval_runtime": 11.2545,
|
2051 |
+
"eval_samples_per_second": 5.065,
|
2052 |
+
"eval_steps_per_second": 1.688,
|
2053 |
+
"step": 146
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 1.17,
|
2057 |
+
"learning_rate": 6.111111111111112e-05,
|
2058 |
+
"loss": 0.8048,
|
2059 |
+
"step": 147
|
2060 |
+
},
|
2061 |
+
{
|
2062 |
+
"epoch": 1.17,
|
2063 |
+
"eval_loss": 0.9589068293571472,
|
2064 |
+
"eval_runtime": 11.3293,
|
2065 |
+
"eval_samples_per_second": 5.031,
|
2066 |
+
"eval_steps_per_second": 1.677,
|
2067 |
+
"step": 147
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 1.17,
|
2071 |
+
"learning_rate": 6.084656084656085e-05,
|
2072 |
+
"loss": 0.8036,
|
2073 |
+
"step": 148
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 1.17,
|
2077 |
+
"eval_loss": 0.9590967297554016,
|
2078 |
+
"eval_runtime": 11.2762,
|
2079 |
+
"eval_samples_per_second": 5.055,
|
2080 |
+
"eval_steps_per_second": 1.685,
|
2081 |
+
"step": 148
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 1.18,
|
2085 |
+
"learning_rate": 6.0582010582010586e-05,
|
2086 |
+
"loss": 0.8703,
|
2087 |
+
"step": 149
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 1.18,
|
2091 |
+
"eval_loss": 0.9593470096588135,
|
2092 |
+
"eval_runtime": 11.2342,
|
2093 |
+
"eval_samples_per_second": 5.074,
|
2094 |
+
"eval_steps_per_second": 1.691,
|
2095 |
+
"step": 149
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 1.19,
|
2099 |
+
"learning_rate": 6.0317460317460316e-05,
|
2100 |
+
"loss": 0.7818,
|
2101 |
+
"step": 150
|
2102 |
+
},
|
2103 |
+
{
|
2104 |
+
"epoch": 1.19,
|
2105 |
+
"eval_loss": 0.9604654908180237,
|
2106 |
+
"eval_runtime": 11.2,
|
2107 |
+
"eval_samples_per_second": 5.089,
|
2108 |
+
"eval_steps_per_second": 1.696,
|
2109 |
+
"step": 150
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 1.2,
|
2113 |
+
"learning_rate": 6.005291005291006e-05,
|
2114 |
+
"loss": 0.9607,
|
2115 |
+
"step": 151
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 1.2,
|
2119 |
+
"eval_loss": 0.9621202349662781,
|
2120 |
+
"eval_runtime": 11.1607,
|
2121 |
+
"eval_samples_per_second": 5.107,
|
2122 |
+
"eval_steps_per_second": 1.702,
|
2123 |
+
"step": 151
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 1.21,
|
2127 |
+
"learning_rate": 5.9788359788359794e-05,
|
2128 |
+
"loss": 0.7956,
|
2129 |
+
"step": 152
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 1.21,
|
2133 |
+
"eval_loss": 0.9638999104499817,
|
2134 |
+
"eval_runtime": 11.25,
|
2135 |
+
"eval_samples_per_second": 5.067,
|
2136 |
+
"eval_steps_per_second": 1.689,
|
2137 |
+
"step": 152
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 1.21,
|
2141 |
+
"learning_rate": 5.9523809523809524e-05,
|
2142 |
+
"loss": 0.7905,
|
2143 |
+
"step": 153
|
2144 |
+
},
|
2145 |
+
{
|
2146 |
+
"epoch": 1.21,
|
2147 |
+
"eval_loss": 0.9654872417449951,
|
2148 |
+
"eval_runtime": 11.2628,
|
2149 |
+
"eval_samples_per_second": 5.061,
|
2150 |
+
"eval_steps_per_second": 1.687,
|
2151 |
+
"step": 153
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 1.22,
|
2155 |
+
"learning_rate": 5.925925925925926e-05,
|
2156 |
+
"loss": 0.8222,
|
2157 |
+
"step": 154
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 1.22,
|
2161 |
+
"eval_loss": 0.9671238660812378,
|
2162 |
+
"eval_runtime": 11.2352,
|
2163 |
+
"eval_samples_per_second": 5.073,
|
2164 |
+
"eval_steps_per_second": 1.691,
|
2165 |
+
"step": 154
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 1.23,
|
2169 |
+
"learning_rate": 5.8994708994709e-05,
|
2170 |
+
"loss": 0.7141,
|
2171 |
+
"step": 155
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 1.23,
|
2175 |
+
"eval_loss": 0.9681822657585144,
|
2176 |
+
"eval_runtime": 11.4061,
|
2177 |
+
"eval_samples_per_second": 4.997,
|
2178 |
+
"eval_steps_per_second": 1.666,
|
2179 |
+
"step": 155
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 1.24,
|
2183 |
+
"learning_rate": 5.873015873015873e-05,
|
2184 |
+
"loss": 0.7559,
|
2185 |
+
"step": 156
|
2186 |
+
},
|
2187 |
+
{
|
2188 |
+
"epoch": 1.24,
|
2189 |
+
"eval_loss": 0.9698037505149841,
|
2190 |
+
"eval_runtime": 11.2595,
|
2191 |
+
"eval_samples_per_second": 5.062,
|
2192 |
+
"eval_steps_per_second": 1.687,
|
2193 |
+
"step": 156
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 1.25,
|
2197 |
+
"learning_rate": 5.846560846560847e-05,
|
2198 |
+
"loss": 0.7906,
|
2199 |
+
"step": 157
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 1.25,
|
2203 |
+
"eval_loss": 0.9727188348770142,
|
2204 |
+
"eval_runtime": 11.2154,
|
2205 |
+
"eval_samples_per_second": 5.082,
|
2206 |
+
"eval_steps_per_second": 1.694,
|
2207 |
+
"step": 157
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 1.25,
|
2211 |
+
"learning_rate": 5.82010582010582e-05,
|
2212 |
+
"loss": 0.8808,
|
2213 |
+
"step": 158
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 1.25,
|
2217 |
+
"eval_loss": 0.9737605452537537,
|
2218 |
+
"eval_runtime": 11.2619,
|
2219 |
+
"eval_samples_per_second": 5.061,
|
2220 |
+
"eval_steps_per_second": 1.687,
|
2221 |
+
"step": 158
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 1.26,
|
2225 |
+
"learning_rate": 5.793650793650795e-05,
|
2226 |
+
"loss": 0.7659,
|
2227 |
+
"step": 159
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 1.26,
|
2231 |
+
"eval_loss": 0.9749085307121277,
|
2232 |
+
"eval_runtime": 11.2907,
|
2233 |
+
"eval_samples_per_second": 5.048,
|
2234 |
+
"eval_steps_per_second": 1.683,
|
2235 |
+
"step": 159
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 1.27,
|
2239 |
+
"learning_rate": 5.7671957671957676e-05,
|
2240 |
+
"loss": 0.746,
|
2241 |
+
"step": 160
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 1.27,
|
2245 |
+
"eval_loss": 0.9759730100631714,
|
2246 |
+
"eval_runtime": 11.2853,
|
2247 |
+
"eval_samples_per_second": 5.051,
|
2248 |
+
"eval_steps_per_second": 1.684,
|
2249 |
+
"step": 160
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 1.28,
|
2253 |
+
"learning_rate": 5.740740740740741e-05,
|
2254 |
+
"loss": 0.7761,
|
2255 |
+
"step": 161
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 1.28,
|
2259 |
+
"eval_loss": 0.9752081632614136,
|
2260 |
+
"eval_runtime": 11.2755,
|
2261 |
+
"eval_samples_per_second": 5.055,
|
2262 |
+
"eval_steps_per_second": 1.685,
|
2263 |
+
"step": 161
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 1.29,
|
2267 |
+
"learning_rate": 5.714285714285714e-05,
|
2268 |
+
"loss": 0.8106,
|
2269 |
+
"step": 162
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 1.29,
|
2273 |
+
"eval_loss": 0.9742076396942139,
|
2274 |
+
"eval_runtime": 11.2173,
|
2275 |
+
"eval_samples_per_second": 5.081,
|
2276 |
+
"eval_steps_per_second": 1.694,
|
2277 |
+
"step": 162
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 1.29,
|
2281 |
+
"learning_rate": 5.6878306878306885e-05,
|
2282 |
+
"loss": 1.0345,
|
2283 |
+
"step": 163
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 1.29,
|
2287 |
+
"eval_loss": 0.971428632736206,
|
2288 |
+
"eval_runtime": 11.2646,
|
2289 |
+
"eval_samples_per_second": 5.06,
|
2290 |
+
"eval_steps_per_second": 1.687,
|
2291 |
+
"step": 163
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 1.3,
|
2295 |
+
"learning_rate": 5.661375661375662e-05,
|
2296 |
+
"loss": 0.8811,
|
2297 |
+
"step": 164
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 1.3,
|
2301 |
+
"eval_loss": 0.9710219502449036,
|
2302 |
+
"eval_runtime": 11.2704,
|
2303 |
+
"eval_samples_per_second": 5.057,
|
2304 |
+
"eval_steps_per_second": 1.686,
|
2305 |
+
"step": 164
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 1.31,
|
2309 |
+
"learning_rate": 5.634920634920635e-05,
|
2310 |
+
"loss": 0.8288,
|
2311 |
+
"step": 165
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 1.31,
|
2315 |
+
"eval_loss": 0.9695227742195129,
|
2316 |
+
"eval_runtime": 11.498,
|
2317 |
+
"eval_samples_per_second": 4.957,
|
2318 |
+
"eval_steps_per_second": 1.652,
|
2319 |
+
"step": 165
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 1.32,
|
2323 |
+
"learning_rate": 5.6084656084656086e-05,
|
2324 |
+
"loss": 0.8506,
|
2325 |
+
"step": 166
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 1.32,
|
2329 |
+
"eval_loss": 0.9673130512237549,
|
2330 |
+
"eval_runtime": 11.2551,
|
2331 |
+
"eval_samples_per_second": 5.064,
|
2332 |
+
"eval_steps_per_second": 1.688,
|
2333 |
+
"step": 166
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 1.33,
|
2337 |
+
"learning_rate": 5.582010582010583e-05,
|
2338 |
+
"loss": 0.8069,
|
2339 |
+
"step": 167
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 1.33,
|
2343 |
+
"eval_loss": 0.9665858745574951,
|
2344 |
+
"eval_runtime": 11.15,
|
2345 |
+
"eval_samples_per_second": 5.112,
|
2346 |
+
"eval_steps_per_second": 1.704,
|
2347 |
+
"step": 167
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 1.33,
|
2351 |
+
"learning_rate": 5.555555555555556e-05,
|
2352 |
+
"loss": 0.9651,
|
2353 |
+
"step": 168
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 1.33,
|
2357 |
+
"eval_loss": 0.96519535779953,
|
2358 |
+
"eval_runtime": 11.3608,
|
2359 |
+
"eval_samples_per_second": 5.017,
|
2360 |
+
"eval_steps_per_second": 1.672,
|
2361 |
+
"step": 168
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 1.34,
|
2365 |
+
"learning_rate": 5.5291005291005294e-05,
|
2366 |
+
"loss": 0.9814,
|
2367 |
+
"step": 169
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 1.34,
|
2371 |
+
"eval_loss": 0.9634275436401367,
|
2372 |
+
"eval_runtime": 11.1336,
|
2373 |
+
"eval_samples_per_second": 5.12,
|
2374 |
+
"eval_steps_per_second": 1.707,
|
2375 |
+
"step": 169
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 1.35,
|
2379 |
+
"learning_rate": 5.5026455026455024e-05,
|
2380 |
+
"loss": 0.854,
|
2381 |
+
"step": 170
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 1.35,
|
2385 |
+
"eval_loss": 0.9614959359169006,
|
2386 |
+
"eval_runtime": 11.3353,
|
2387 |
+
"eval_samples_per_second": 5.029,
|
2388 |
+
"eval_steps_per_second": 1.676,
|
2389 |
+
"step": 170
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 1.36,
|
2393 |
+
"learning_rate": 5.4761904761904766e-05,
|
2394 |
+
"loss": 0.8542,
|
2395 |
+
"step": 171
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 1.36,
|
2399 |
+
"eval_loss": 0.9592831134796143,
|
2400 |
+
"eval_runtime": 11.3728,
|
2401 |
+
"eval_samples_per_second": 5.012,
|
2402 |
+
"eval_steps_per_second": 1.671,
|
2403 |
+
"step": 171
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 1.37,
|
2407 |
+
"learning_rate": 5.44973544973545e-05,
|
2408 |
+
"loss": 0.8012,
|
2409 |
+
"step": 172
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 1.37,
|
2413 |
+
"eval_loss": 0.9572239518165588,
|
2414 |
+
"eval_runtime": 11.1863,
|
2415 |
+
"eval_samples_per_second": 5.096,
|
2416 |
+
"eval_steps_per_second": 1.699,
|
2417 |
+
"step": 172
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 1.37,
|
2421 |
+
"learning_rate": 5.423280423280423e-05,
|
2422 |
+
"loss": 0.975,
|
2423 |
+
"step": 173
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 1.37,
|
2427 |
+
"eval_loss": 0.9551581144332886,
|
2428 |
+
"eval_runtime": 11.2719,
|
2429 |
+
"eval_samples_per_second": 5.057,
|
2430 |
+
"eval_steps_per_second": 1.686,
|
2431 |
+
"step": 173
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 1.38,
|
2435 |
+
"learning_rate": 5.396825396825397e-05,
|
2436 |
+
"loss": 0.7755,
|
2437 |
+
"step": 174
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 1.38,
|
2441 |
+
"eval_loss": 0.9545064568519592,
|
2442 |
+
"eval_runtime": 11.5962,
|
2443 |
+
"eval_samples_per_second": 4.915,
|
2444 |
+
"eval_steps_per_second": 1.638,
|
2445 |
+
"step": 174
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 1.39,
|
2449 |
+
"learning_rate": 5.370370370370371e-05,
|
2450 |
+
"loss": 0.8363,
|
2451 |
+
"step": 175
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 1.39,
|
2455 |
+
"eval_loss": 0.9535031914710999,
|
2456 |
+
"eval_runtime": 11.4446,
|
2457 |
+
"eval_samples_per_second": 4.98,
|
2458 |
+
"eval_steps_per_second": 1.66,
|
2459 |
+
"step": 175
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 1.4,
|
2463 |
+
"learning_rate": 5.343915343915345e-05,
|
2464 |
+
"loss": 0.8024,
|
2465 |
+
"step": 176
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 1.4,
|
2469 |
+
"eval_loss": 0.9528553485870361,
|
2470 |
+
"eval_runtime": 11.1519,
|
2471 |
+
"eval_samples_per_second": 5.111,
|
2472 |
+
"eval_steps_per_second": 1.704,
|
2473 |
+
"step": 176
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 1.4,
|
2477 |
+
"learning_rate": 5.3174603174603176e-05,
|
2478 |
+
"loss": 0.783,
|
2479 |
+
"step": 177
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 1.4,
|
2483 |
+
"eval_loss": 0.9524054527282715,
|
2484 |
+
"eval_runtime": 11.2811,
|
2485 |
+
"eval_samples_per_second": 5.053,
|
2486 |
+
"eval_steps_per_second": 1.684,
|
2487 |
+
"step": 177
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 1.41,
|
2491 |
+
"learning_rate": 5.291005291005291e-05,
|
2492 |
+
"loss": 0.9196,
|
2493 |
+
"step": 178
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 1.41,
|
2497 |
+
"eval_loss": 0.9519273042678833,
|
2498 |
+
"eval_runtime": 11.2667,
|
2499 |
+
"eval_samples_per_second": 5.059,
|
2500 |
+
"eval_steps_per_second": 1.686,
|
2501 |
+
"step": 178
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 1.42,
|
2505 |
+
"learning_rate": 5.2645502645502655e-05,
|
2506 |
+
"loss": 0.7972,
|
2507 |
+
"step": 179
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 1.42,
|
2511 |
+
"eval_loss": 0.9521083235740662,
|
2512 |
+
"eval_runtime": 11.2333,
|
2513 |
+
"eval_samples_per_second": 5.074,
|
2514 |
+
"eval_steps_per_second": 1.691,
|
2515 |
+
"step": 179
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 1.43,
|
2519 |
+
"learning_rate": 5.2380952380952384e-05,
|
2520 |
+
"loss": 0.713,
|
2521 |
+
"step": 180
|
2522 |
+
},
|
2523 |
+
{
|
2524 |
+
"epoch": 1.43,
|
2525 |
+
"eval_loss": 0.9525256752967834,
|
2526 |
+
"eval_runtime": 11.272,
|
2527 |
+
"eval_samples_per_second": 5.057,
|
2528 |
+
"eval_steps_per_second": 1.686,
|
2529 |
+
"step": 180
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 1.44,
|
2533 |
+
"learning_rate": 5.211640211640212e-05,
|
2534 |
+
"loss": 0.8934,
|
2535 |
+
"step": 181
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 1.44,
|
2539 |
+
"eval_loss": 0.9519696831703186,
|
2540 |
+
"eval_runtime": 11.2602,
|
2541 |
+
"eval_samples_per_second": 5.062,
|
2542 |
+
"eval_steps_per_second": 1.687,
|
2543 |
+
"step": 181
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 1.44,
|
2547 |
+
"learning_rate": 5.185185185185185e-05,
|
2548 |
+
"loss": 0.8072,
|
2549 |
+
"step": 182
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 1.44,
|
2553 |
+
"eval_loss": 0.9514541625976562,
|
2554 |
+
"eval_runtime": 11.3432,
|
2555 |
+
"eval_samples_per_second": 5.025,
|
2556 |
+
"eval_steps_per_second": 1.675,
|
2557 |
+
"step": 182
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 1.45,
|
2561 |
+
"learning_rate": 5.158730158730159e-05,
|
2562 |
+
"loss": 0.8216,
|
2563 |
+
"step": 183
|
2564 |
+
},
|
2565 |
+
{
|
2566 |
+
"epoch": 1.45,
|
2567 |
+
"eval_loss": 0.9507673382759094,
|
2568 |
+
"eval_runtime": 11.1823,
|
2569 |
+
"eval_samples_per_second": 5.097,
|
2570 |
+
"eval_steps_per_second": 1.699,
|
2571 |
+
"step": 183
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 1.46,
|
2575 |
+
"learning_rate": 5.132275132275133e-05,
|
2576 |
+
"loss": 0.7242,
|
2577 |
+
"step": 184
|
2578 |
+
},
|
2579 |
+
{
|
2580 |
+
"epoch": 1.46,
|
2581 |
+
"eval_loss": 0.950447142124176,
|
2582 |
+
"eval_runtime": 11.1002,
|
2583 |
+
"eval_samples_per_second": 5.135,
|
2584 |
+
"eval_steps_per_second": 1.712,
|
2585 |
+
"step": 184
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 1.47,
|
2589 |
+
"learning_rate": 5.105820105820106e-05,
|
2590 |
+
"loss": 0.8381,
|
2591 |
+
"step": 185
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 1.47,
|
2595 |
+
"eval_loss": 0.9501126408576965,
|
2596 |
+
"eval_runtime": 11.3125,
|
2597 |
+
"eval_samples_per_second": 5.039,
|
2598 |
+
"eval_steps_per_second": 1.68,
|
2599 |
+
"step": 185
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 1.48,
|
2603 |
+
"learning_rate": 5.0793650793650794e-05,
|
2604 |
+
"loss": 0.9721,
|
2605 |
+
"step": 186
|
2606 |
+
},
|
2607 |
+
{
|
2608 |
+
"epoch": 1.48,
|
2609 |
+
"eval_loss": 0.9495165348052979,
|
2610 |
+
"eval_runtime": 11.2634,
|
2611 |
+
"eval_samples_per_second": 5.061,
|
2612 |
+
"eval_steps_per_second": 1.687,
|
2613 |
+
"step": 186
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 1.48,
|
2617 |
+
"learning_rate": 5.052910052910054e-05,
|
2618 |
+
"loss": 0.9755,
|
2619 |
+
"step": 187
|
2620 |
+
},
|
2621 |
+
{
|
2622 |
+
"epoch": 1.48,
|
2623 |
+
"eval_loss": 0.9505437016487122,
|
2624 |
+
"eval_runtime": 11.1189,
|
2625 |
+
"eval_samples_per_second": 5.126,
|
2626 |
+
"eval_steps_per_second": 1.709,
|
2627 |
+
"step": 187
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 1.49,
|
2631 |
+
"learning_rate": 5.026455026455027e-05,
|
2632 |
+
"loss": 0.7596,
|
2633 |
+
"step": 188
|
2634 |
+
},
|
2635 |
+
{
|
2636 |
+
"epoch": 1.49,
|
2637 |
+
"eval_loss": 0.9504641890525818,
|
2638 |
+
"eval_runtime": 11.2688,
|
2639 |
+
"eval_samples_per_second": 5.058,
|
2640 |
+
"eval_steps_per_second": 1.686,
|
2641 |
+
"step": 188
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 1.5,
|
2645 |
+
"learning_rate": 5e-05,
|
2646 |
+
"loss": 0.8127,
|
2647 |
+
"step": 189
|
2648 |
+
},
|
2649 |
+
{
|
2650 |
+
"epoch": 1.5,
|
2651 |
+
"eval_loss": 0.9504896998405457,
|
2652 |
+
"eval_runtime": 11.3596,
|
2653 |
+
"eval_samples_per_second": 5.018,
|
2654 |
+
"eval_steps_per_second": 1.673,
|
2655 |
+
"step": 189
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 1.51,
|
2659 |
+
"learning_rate": 4.973544973544973e-05,
|
2660 |
+
"loss": 0.7999,
|
2661 |
+
"step": 190
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"epoch": 1.51,
|
2665 |
+
"eval_loss": 0.9504294991493225,
|
2666 |
+
"eval_runtime": 11.6748,
|
2667 |
+
"eval_samples_per_second": 4.882,
|
2668 |
+
"eval_steps_per_second": 1.627,
|
2669 |
+
"step": 190
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 1.52,
|
2673 |
+
"learning_rate": 4.9470899470899475e-05,
|
2674 |
+
"loss": 0.8556,
|
2675 |
+
"step": 191
|
2676 |
+
},
|
2677 |
+
{
|
2678 |
+
"epoch": 1.52,
|
2679 |
+
"eval_loss": 0.950935423374176,
|
2680 |
+
"eval_runtime": 11.4816,
|
2681 |
+
"eval_samples_per_second": 4.964,
|
2682 |
+
"eval_steps_per_second": 1.655,
|
2683 |
+
"step": 191
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 1.52,
|
2687 |
+
"learning_rate": 4.9206349206349204e-05,
|
2688 |
+
"loss": 0.7262,
|
2689 |
+
"step": 192
|
2690 |
+
},
|
2691 |
+
{
|
2692 |
+
"epoch": 1.52,
|
2693 |
+
"eval_loss": 0.9509056210517883,
|
2694 |
+
"eval_runtime": 11.4591,
|
2695 |
+
"eval_samples_per_second": 4.974,
|
2696 |
+
"eval_steps_per_second": 1.658,
|
2697 |
+
"step": 192
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 1.53,
|
2701 |
+
"learning_rate": 4.894179894179895e-05,
|
2702 |
+
"loss": 0.7748,
|
2703 |
+
"step": 193
|
2704 |
+
},
|
2705 |
+
{
|
2706 |
+
"epoch": 1.53,
|
2707 |
+
"eval_loss": 0.9506821632385254,
|
2708 |
+
"eval_runtime": 11.6655,
|
2709 |
+
"eval_samples_per_second": 4.886,
|
2710 |
+
"eval_steps_per_second": 1.629,
|
2711 |
+
"step": 193
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 1.54,
|
2715 |
+
"learning_rate": 4.8677248677248676e-05,
|
2716 |
+
"loss": 0.7988,
|
2717 |
+
"step": 194
|
2718 |
+
},
|
2719 |
+
{
|
2720 |
+
"epoch": 1.54,
|
2721 |
+
"eval_loss": 0.9508106112480164,
|
2722 |
+
"eval_runtime": 11.2436,
|
2723 |
+
"eval_samples_per_second": 5.07,
|
2724 |
+
"eval_steps_per_second": 1.69,
|
2725 |
+
"step": 194
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 1.55,
|
2729 |
+
"learning_rate": 4.841269841269841e-05,
|
2730 |
+
"loss": 0.9548,
|
2731 |
+
"step": 195
|
2732 |
+
},
|
2733 |
+
{
|
2734 |
+
"epoch": 1.55,
|
2735 |
+
"eval_loss": 0.9502134323120117,
|
2736 |
+
"eval_runtime": 11.2836,
|
2737 |
+
"eval_samples_per_second": 5.052,
|
2738 |
+
"eval_steps_per_second": 1.684,
|
2739 |
+
"step": 195
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 1.56,
|
2743 |
+
"learning_rate": 4.814814814814815e-05,
|
2744 |
+
"loss": 0.8198,
|
2745 |
+
"step": 196
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 1.56,
|
2749 |
+
"eval_loss": 0.9500845670700073,
|
2750 |
+
"eval_runtime": 11.2561,
|
2751 |
+
"eval_samples_per_second": 5.064,
|
2752 |
+
"eval_steps_per_second": 1.688,
|
2753 |
+
"step": 196
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 1.56,
|
2757 |
+
"learning_rate": 4.7883597883597884e-05,
|
2758 |
+
"loss": 0.8214,
|
2759 |
+
"step": 197
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 1.56,
|
2763 |
+
"eval_loss": 0.9501683712005615,
|
2764 |
+
"eval_runtime": 11.2431,
|
2765 |
+
"eval_samples_per_second": 5.07,
|
2766 |
+
"eval_steps_per_second": 1.69,
|
2767 |
+
"step": 197
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 1.57,
|
2771 |
+
"learning_rate": 4.761904761904762e-05,
|
2772 |
+
"loss": 0.8485,
|
2773 |
+
"step": 198
|
2774 |
+
},
|
2775 |
+
{
|
2776 |
+
"epoch": 1.57,
|
2777 |
+
"eval_loss": 0.9491482973098755,
|
2778 |
+
"eval_runtime": 11.4349,
|
2779 |
+
"eval_samples_per_second": 4.985,
|
2780 |
+
"eval_steps_per_second": 1.662,
|
2781 |
+
"step": 198
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 1.58,
|
2785 |
+
"learning_rate": 4.7354497354497356e-05,
|
2786 |
+
"loss": 0.8415,
|
2787 |
+
"step": 199
|
2788 |
+
},
|
2789 |
+
{
|
2790 |
+
"epoch": 1.58,
|
2791 |
+
"eval_loss": 0.9494752883911133,
|
2792 |
+
"eval_runtime": 11.45,
|
2793 |
+
"eval_samples_per_second": 4.978,
|
2794 |
+
"eval_steps_per_second": 1.659,
|
2795 |
+
"step": 199
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 1.59,
|
2799 |
+
"learning_rate": 4.708994708994709e-05,
|
2800 |
+
"loss": 0.789,
|
2801 |
+
"step": 200
|
2802 |
+
},
|
2803 |
+
{
|
2804 |
+
"epoch": 1.59,
|
2805 |
+
"eval_loss": 0.9499990940093994,
|
2806 |
+
"eval_runtime": 11.1948,
|
2807 |
+
"eval_samples_per_second": 5.092,
|
2808 |
+
"eval_steps_per_second": 1.697,
|
2809 |
+
"step": 200
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 1.6,
|
2813 |
+
"learning_rate": 4.682539682539683e-05,
|
2814 |
+
"loss": 0.7414,
|
2815 |
+
"step": 201
|
2816 |
+
},
|
2817 |
+
{
|
2818 |
+
"epoch": 1.6,
|
2819 |
+
"eval_loss": 0.950614869594574,
|
2820 |
+
"eval_runtime": 11.2016,
|
2821 |
+
"eval_samples_per_second": 5.089,
|
2822 |
+
"eval_steps_per_second": 1.696,
|
2823 |
+
"step": 201
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 1.6,
|
2827 |
+
"learning_rate": 4.656084656084656e-05,
|
2828 |
+
"loss": 0.9238,
|
2829 |
+
"step": 202
|
2830 |
+
},
|
2831 |
+
{
|
2832 |
+
"epoch": 1.6,
|
2833 |
+
"eval_loss": 0.9510459303855896,
|
2834 |
+
"eval_runtime": 11.2692,
|
2835 |
+
"eval_samples_per_second": 5.058,
|
2836 |
+
"eval_steps_per_second": 1.686,
|
2837 |
+
"step": 202
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 1.61,
|
2841 |
+
"learning_rate": 4.62962962962963e-05,
|
2842 |
+
"loss": 0.7716,
|
2843 |
+
"step": 203
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 1.61,
|
2847 |
+
"eval_loss": 0.9512655138969421,
|
2848 |
+
"eval_runtime": 11.25,
|
2849 |
+
"eval_samples_per_second": 5.067,
|
2850 |
+
"eval_steps_per_second": 1.689,
|
2851 |
+
"step": 203
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 1.62,
|
2855 |
+
"learning_rate": 4.603174603174603e-05,
|
2856 |
+
"loss": 0.78,
|
2857 |
+
"step": 204
|
2858 |
+
},
|
2859 |
+
{
|
2860 |
+
"epoch": 1.62,
|
2861 |
+
"eval_loss": 0.9526160955429077,
|
2862 |
+
"eval_runtime": 11.2309,
|
2863 |
+
"eval_samples_per_second": 5.075,
|
2864 |
+
"eval_steps_per_second": 1.692,
|
2865 |
+
"step": 204
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 1.63,
|
2869 |
+
"learning_rate": 4.576719576719577e-05,
|
2870 |
+
"loss": 0.8149,
|
2871 |
+
"step": 205
|
2872 |
+
},
|
2873 |
+
{
|
2874 |
+
"epoch": 1.63,
|
2875 |
+
"eval_loss": 0.9529213309288025,
|
2876 |
+
"eval_runtime": 11.4627,
|
2877 |
+
"eval_samples_per_second": 4.973,
|
2878 |
+
"eval_steps_per_second": 1.658,
|
2879 |
+
"step": 205
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 1.63,
|
2883 |
+
"learning_rate": 4.55026455026455e-05,
|
2884 |
+
"loss": 0.9315,
|
2885 |
+
"step": 206
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 1.63,
|
2889 |
+
"eval_loss": 0.9526896476745605,
|
2890 |
+
"eval_runtime": 11.349,
|
2891 |
+
"eval_samples_per_second": 5.022,
|
2892 |
+
"eval_steps_per_second": 1.674,
|
2893 |
+
"step": 206
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 1.64,
|
2897 |
+
"learning_rate": 4.523809523809524e-05,
|
2898 |
+
"loss": 0.8562,
|
2899 |
+
"step": 207
|
2900 |
+
},
|
2901 |
+
{
|
2902 |
+
"epoch": 1.64,
|
2903 |
+
"eval_loss": 0.9522102475166321,
|
2904 |
+
"eval_runtime": 11.2689,
|
2905 |
+
"eval_samples_per_second": 5.058,
|
2906 |
+
"eval_steps_per_second": 1.686,
|
2907 |
+
"step": 207
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 1.65,
|
2911 |
+
"learning_rate": 4.4973544973544974e-05,
|
2912 |
+
"loss": 0.6728,
|
2913 |
+
"step": 208
|
2914 |
+
},
|
2915 |
+
{
|
2916 |
+
"epoch": 1.65,
|
2917 |
+
"eval_loss": 0.9524990320205688,
|
2918 |
+
"eval_runtime": 11.3464,
|
2919 |
+
"eval_samples_per_second": 5.024,
|
2920 |
+
"eval_steps_per_second": 1.675,
|
2921 |
+
"step": 208
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 1.66,
|
2925 |
+
"learning_rate": 4.470899470899471e-05,
|
2926 |
+
"loss": 0.8107,
|
2927 |
+
"step": 209
|
2928 |
+
},
|
2929 |
+
{
|
2930 |
+
"epoch": 1.66,
|
2931 |
+
"eval_loss": 0.9504749178886414,
|
2932 |
+
"eval_runtime": 11.3852,
|
2933 |
+
"eval_samples_per_second": 5.006,
|
2934 |
+
"eval_steps_per_second": 1.669,
|
2935 |
+
"step": 209
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 1.67,
|
2939 |
+
"learning_rate": 4.4444444444444447e-05,
|
2940 |
+
"loss": 0.7363,
|
2941 |
+
"step": 210
|
2942 |
+
},
|
2943 |
+
{
|
2944 |
+
"epoch": 1.67,
|
2945 |
+
"eval_loss": 0.9504967927932739,
|
2946 |
+
"eval_runtime": 11.2458,
|
2947 |
+
"eval_samples_per_second": 5.069,
|
2948 |
+
"eval_steps_per_second": 1.69,
|
2949 |
+
"step": 210
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 1.67,
|
2953 |
+
"learning_rate": 4.417989417989418e-05,
|
2954 |
+
"loss": 0.8278,
|
2955 |
+
"step": 211
|
2956 |
+
},
|
2957 |
+
{
|
2958 |
+
"epoch": 1.67,
|
2959 |
+
"eval_loss": 0.9501346349716187,
|
2960 |
+
"eval_runtime": 11.3631,
|
2961 |
+
"eval_samples_per_second": 5.016,
|
2962 |
+
"eval_steps_per_second": 1.672,
|
2963 |
+
"step": 211
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 1.68,
|
2967 |
+
"learning_rate": 4.391534391534391e-05,
|
2968 |
+
"loss": 0.7827,
|
2969 |
+
"step": 212
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 1.68,
|
2973 |
+
"eval_loss": 0.9484946727752686,
|
2974 |
+
"eval_runtime": 11.3608,
|
2975 |
+
"eval_samples_per_second": 5.017,
|
2976 |
+
"eval_steps_per_second": 1.672,
|
2977 |
+
"step": 212
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 1.69,
|
2981 |
+
"learning_rate": 4.3650793650793655e-05,
|
2982 |
+
"loss": 0.6884,
|
2983 |
+
"step": 213
|
2984 |
+
},
|
2985 |
+
{
|
2986 |
+
"epoch": 1.69,
|
2987 |
+
"eval_loss": 0.9481523633003235,
|
2988 |
+
"eval_runtime": 11.3269,
|
2989 |
+
"eval_samples_per_second": 5.032,
|
2990 |
+
"eval_steps_per_second": 1.677,
|
2991 |
+
"step": 213
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 1.7,
|
2995 |
+
"learning_rate": 4.3386243386243384e-05,
|
2996 |
+
"loss": 0.7418,
|
2997 |
+
"step": 214
|
2998 |
+
},
|
2999 |
+
{
|
3000 |
+
"epoch": 1.7,
|
3001 |
+
"eval_loss": 0.9482589960098267,
|
3002 |
+
"eval_runtime": 11.3957,
|
3003 |
+
"eval_samples_per_second": 5.002,
|
3004 |
+
"eval_steps_per_second": 1.667,
|
3005 |
+
"step": 214
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 1.71,
|
3009 |
+
"learning_rate": 4.312169312169313e-05,
|
3010 |
+
"loss": 0.8012,
|
3011 |
+
"step": 215
|
3012 |
+
},
|
3013 |
+
{
|
3014 |
+
"epoch": 1.71,
|
3015 |
+
"eval_loss": 0.9473200440406799,
|
3016 |
+
"eval_runtime": 11.4932,
|
3017 |
+
"eval_samples_per_second": 4.959,
|
3018 |
+
"eval_steps_per_second": 1.653,
|
3019 |
+
"step": 215
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 1.71,
|
3023 |
+
"learning_rate": 4.2857142857142856e-05,
|
3024 |
+
"loss": 0.7137,
|
3025 |
+
"step": 216
|
3026 |
+
},
|
3027 |
+
{
|
3028 |
+
"epoch": 1.71,
|
3029 |
+
"eval_loss": 0.9463203549385071,
|
3030 |
+
"eval_runtime": 11.442,
|
3031 |
+
"eval_samples_per_second": 4.982,
|
3032 |
+
"eval_steps_per_second": 1.661,
|
3033 |
+
"step": 216
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 1.72,
|
3037 |
+
"learning_rate": 4.259259259259259e-05,
|
3038 |
+
"loss": 0.8202,
|
3039 |
+
"step": 217
|
3040 |
+
},
|
3041 |
+
{
|
3042 |
+
"epoch": 1.72,
|
3043 |
+
"eval_loss": 0.9461511969566345,
|
3044 |
+
"eval_runtime": 11.4253,
|
3045 |
+
"eval_samples_per_second": 4.989,
|
3046 |
+
"eval_steps_per_second": 1.663,
|
3047 |
+
"step": 217
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 1.73,
|
3051 |
+
"learning_rate": 4.232804232804233e-05,
|
3052 |
+
"loss": 0.7196,
|
3053 |
+
"step": 218
|
3054 |
+
},
|
3055 |
+
{
|
3056 |
+
"epoch": 1.73,
|
3057 |
+
"eval_loss": 0.9457988142967224,
|
3058 |
+
"eval_runtime": 11.4121,
|
3059 |
+
"eval_samples_per_second": 4.995,
|
3060 |
+
"eval_steps_per_second": 1.665,
|
3061 |
+
"step": 218
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 1.74,
|
3065 |
+
"learning_rate": 4.2063492063492065e-05,
|
3066 |
+
"loss": 0.8195,
|
3067 |
+
"step": 219
|
3068 |
+
},
|
3069 |
+
{
|
3070 |
+
"epoch": 1.74,
|
3071 |
+
"eval_loss": 0.9461942911148071,
|
3072 |
+
"eval_runtime": 11.5171,
|
3073 |
+
"eval_samples_per_second": 4.949,
|
3074 |
+
"eval_steps_per_second": 1.65,
|
3075 |
+
"step": 219
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 1.75,
|
3079 |
+
"learning_rate": 4.17989417989418e-05,
|
3080 |
+
"loss": 0.8813,
|
3081 |
+
"step": 220
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 1.75,
|
3085 |
+
"eval_loss": 0.9455254673957825,
|
3086 |
+
"eval_runtime": 11.3423,
|
3087 |
+
"eval_samples_per_second": 5.025,
|
3088 |
+
"eval_steps_per_second": 1.675,
|
3089 |
+
"step": 220
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 1.75,
|
3093 |
+
"learning_rate": 4.153439153439154e-05,
|
3094 |
+
"loss": 0.7291,
|
3095 |
+
"step": 221
|
3096 |
+
},
|
3097 |
+
{
|
3098 |
+
"epoch": 1.75,
|
3099 |
+
"eval_loss": 0.9450626969337463,
|
3100 |
+
"eval_runtime": 11.3241,
|
3101 |
+
"eval_samples_per_second": 5.034,
|
3102 |
+
"eval_steps_per_second": 1.678,
|
3103 |
+
"step": 221
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 1.76,
|
3107 |
+
"learning_rate": 4.126984126984127e-05,
|
3108 |
+
"loss": 0.8033,
|
3109 |
+
"step": 222
|
3110 |
+
},
|
3111 |
+
{
|
3112 |
+
"epoch": 1.76,
|
3113 |
+
"eval_loss": 0.943817675113678,
|
3114 |
+
"eval_runtime": 11.236,
|
3115 |
+
"eval_samples_per_second": 5.073,
|
3116 |
+
"eval_steps_per_second": 1.691,
|
3117 |
+
"step": 222
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 1.77,
|
3121 |
+
"learning_rate": 4.100529100529101e-05,
|
3122 |
+
"loss": 0.7453,
|
3123 |
+
"step": 223
|
3124 |
+
},
|
3125 |
+
{
|
3126 |
+
"epoch": 1.77,
|
3127 |
+
"eval_loss": 0.9435564279556274,
|
3128 |
+
"eval_runtime": 11.3459,
|
3129 |
+
"eval_samples_per_second": 5.024,
|
3130 |
+
"eval_steps_per_second": 1.675,
|
3131 |
+
"step": 223
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 1.78,
|
3135 |
+
"learning_rate": 4.074074074074074e-05,
|
3136 |
+
"loss": 0.7112,
|
3137 |
+
"step": 224
|
3138 |
+
},
|
3139 |
+
{
|
3140 |
+
"epoch": 1.78,
|
3141 |
+
"eval_loss": 0.943976104259491,
|
3142 |
+
"eval_runtime": 11.3955,
|
3143 |
+
"eval_samples_per_second": 5.002,
|
3144 |
+
"eval_steps_per_second": 1.667,
|
3145 |
+
"step": 224
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 1.79,
|
3149 |
+
"learning_rate": 4.047619047619048e-05,
|
3150 |
+
"loss": 0.817,
|
3151 |
+
"step": 225
|
3152 |
+
},
|
3153 |
+
{
|
3154 |
+
"epoch": 1.79,
|
3155 |
+
"eval_loss": 0.9434075355529785,
|
3156 |
+
"eval_runtime": 11.2349,
|
3157 |
+
"eval_samples_per_second": 5.073,
|
3158 |
+
"eval_steps_per_second": 1.691,
|
3159 |
+
"step": 225
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 1.79,
|
3163 |
+
"learning_rate": 4.021164021164021e-05,
|
3164 |
+
"loss": 0.7895,
|
3165 |
+
"step": 226
|
3166 |
+
},
|
3167 |
+
{
|
3168 |
+
"epoch": 1.79,
|
3169 |
+
"eval_loss": 0.9428831338882446,
|
3170 |
+
"eval_runtime": 11.3622,
|
3171 |
+
"eval_samples_per_second": 5.017,
|
3172 |
+
"eval_steps_per_second": 1.672,
|
3173 |
+
"step": 226
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 1.8,
|
3177 |
+
"learning_rate": 3.9947089947089946e-05,
|
3178 |
+
"loss": 0.7245,
|
3179 |
+
"step": 227
|
3180 |
+
},
|
3181 |
+
{
|
3182 |
+
"epoch": 1.8,
|
3183 |
+
"eval_loss": 0.9428912401199341,
|
3184 |
+
"eval_runtime": 11.2865,
|
3185 |
+
"eval_samples_per_second": 5.05,
|
3186 |
+
"eval_steps_per_second": 1.683,
|
3187 |
+
"step": 227
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 1.81,
|
3191 |
+
"learning_rate": 3.968253968253968e-05,
|
3192 |
+
"loss": 0.7244,
|
3193 |
+
"step": 228
|
3194 |
+
},
|
3195 |
+
{
|
3196 |
+
"epoch": 1.81,
|
3197 |
+
"eval_loss": 0.9429775476455688,
|
3198 |
+
"eval_runtime": 11.2166,
|
3199 |
+
"eval_samples_per_second": 5.082,
|
3200 |
+
"eval_steps_per_second": 1.694,
|
3201 |
+
"step": 228
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 1.82,
|
3205 |
+
"learning_rate": 3.941798941798942e-05,
|
3206 |
+
"loss": 0.7241,
|
3207 |
+
"step": 229
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"epoch": 1.82,
|
3211 |
+
"eval_loss": 0.943901002407074,
|
3212 |
+
"eval_runtime": 11.2593,
|
3213 |
+
"eval_samples_per_second": 5.062,
|
3214 |
+
"eval_steps_per_second": 1.687,
|
3215 |
+
"step": 229
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 1.83,
|
3219 |
+
"learning_rate": 3.9153439153439155e-05,
|
3220 |
+
"loss": 0.7879,
|
3221 |
+
"step": 230
|
3222 |
+
},
|
3223 |
+
{
|
3224 |
+
"epoch": 1.83,
|
3225 |
+
"eval_loss": 0.9442031383514404,
|
3226 |
+
"eval_runtime": 11.3453,
|
3227 |
+
"eval_samples_per_second": 5.024,
|
3228 |
+
"eval_steps_per_second": 1.675,
|
3229 |
+
"step": 230
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 1.83,
|
3233 |
+
"learning_rate": 3.888888888888889e-05,
|
3234 |
+
"loss": 1.0106,
|
3235 |
+
"step": 231
|
3236 |
+
},
|
3237 |
+
{
|
3238 |
+
"epoch": 1.83,
|
3239 |
+
"eval_loss": 0.944178581237793,
|
3240 |
+
"eval_runtime": 11.2853,
|
3241 |
+
"eval_samples_per_second": 5.051,
|
3242 |
+
"eval_steps_per_second": 1.684,
|
3243 |
+
"step": 231
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 1.84,
|
3247 |
+
"learning_rate": 3.862433862433863e-05,
|
3248 |
+
"loss": 0.8942,
|
3249 |
+
"step": 232
|
3250 |
+
},
|
3251 |
+
{
|
3252 |
+
"epoch": 1.84,
|
3253 |
+
"eval_loss": 0.9436543583869934,
|
3254 |
+
"eval_runtime": 11.5347,
|
3255 |
+
"eval_samples_per_second": 4.942,
|
3256 |
+
"eval_steps_per_second": 1.647,
|
3257 |
+
"step": 232
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 1.85,
|
3261 |
+
"learning_rate": 3.835978835978836e-05,
|
3262 |
+
"loss": 0.8406,
|
3263 |
+
"step": 233
|
3264 |
+
},
|
3265 |
+
{
|
3266 |
+
"epoch": 1.85,
|
3267 |
+
"eval_loss": 0.9440739154815674,
|
3268 |
+
"eval_runtime": 11.1759,
|
3269 |
+
"eval_samples_per_second": 5.1,
|
3270 |
+
"eval_steps_per_second": 1.7,
|
3271 |
+
"step": 233
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 1.86,
|
3275 |
+
"learning_rate": 3.809523809523809e-05,
|
3276 |
+
"loss": 0.6819,
|
3277 |
+
"step": 234
|
3278 |
+
},
|
3279 |
+
{
|
3280 |
+
"epoch": 1.86,
|
3281 |
+
"eval_loss": 0.9439970254898071,
|
3282 |
+
"eval_runtime": 11.2746,
|
3283 |
+
"eval_samples_per_second": 5.056,
|
3284 |
+
"eval_steps_per_second": 1.685,
|
3285 |
+
"step": 234
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 1.87,
|
3289 |
+
"learning_rate": 3.7830687830687835e-05,
|
3290 |
+
"loss": 0.7755,
|
3291 |
+
"step": 235
|
3292 |
+
},
|
3293 |
+
{
|
3294 |
+
"epoch": 1.87,
|
3295 |
+
"eval_loss": 0.9441021084785461,
|
3296 |
+
"eval_runtime": 11.2612,
|
3297 |
+
"eval_samples_per_second": 5.062,
|
3298 |
+
"eval_steps_per_second": 1.687,
|
3299 |
+
"step": 235
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 1.87,
|
3303 |
+
"learning_rate": 3.7566137566137564e-05,
|
3304 |
+
"loss": 0.827,
|
3305 |
+
"step": 236
|
3306 |
+
},
|
3307 |
+
{
|
3308 |
+
"epoch": 1.87,
|
3309 |
+
"eval_loss": 0.9449384808540344,
|
3310 |
+
"eval_runtime": 11.2369,
|
3311 |
+
"eval_samples_per_second": 5.073,
|
3312 |
+
"eval_steps_per_second": 1.691,
|
3313 |
+
"step": 236
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 1.88,
|
3317 |
+
"learning_rate": 3.730158730158731e-05,
|
3318 |
+
"loss": 0.8764,
|
3319 |
+
"step": 237
|
3320 |
+
},
|
3321 |
+
{
|
3322 |
+
"epoch": 1.88,
|
3323 |
+
"eval_loss": 0.9446438550949097,
|
3324 |
+
"eval_runtime": 11.27,
|
3325 |
+
"eval_samples_per_second": 5.058,
|
3326 |
+
"eval_steps_per_second": 1.686,
|
3327 |
+
"step": 237
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 1.89,
|
3331 |
+
"learning_rate": 3.7037037037037037e-05,
|
3332 |
+
"loss": 0.7458,
|
3333 |
+
"step": 238
|
3334 |
+
},
|
3335 |
+
{
|
3336 |
+
"epoch": 1.89,
|
3337 |
+
"eval_loss": 0.9437587261199951,
|
3338 |
+
"eval_runtime": 11.3557,
|
3339 |
+
"eval_samples_per_second": 5.019,
|
3340 |
+
"eval_steps_per_second": 1.673,
|
3341 |
+
"step": 238
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 1.9,
|
3345 |
+
"learning_rate": 3.677248677248677e-05,
|
3346 |
+
"loss": 0.9094,
|
3347 |
+
"step": 239
|
3348 |
+
},
|
3349 |
+
{
|
3350 |
+
"epoch": 1.9,
|
3351 |
+
"eval_loss": 0.9439199566841125,
|
3352 |
+
"eval_runtime": 11.2235,
|
3353 |
+
"eval_samples_per_second": 5.079,
|
3354 |
+
"eval_steps_per_second": 1.693,
|
3355 |
+
"step": 239
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 1.9,
|
3359 |
+
"learning_rate": 3.650793650793651e-05,
|
3360 |
+
"loss": 0.9898,
|
3361 |
+
"step": 240
|
3362 |
+
},
|
3363 |
+
{
|
3364 |
+
"epoch": 1.9,
|
3365 |
+
"eval_loss": 0.942205548286438,
|
3366 |
+
"eval_runtime": 11.3626,
|
3367 |
+
"eval_samples_per_second": 5.016,
|
3368 |
+
"eval_steps_per_second": 1.672,
|
3369 |
+
"step": 240
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 1.91,
|
3373 |
+
"learning_rate": 3.6243386243386245e-05,
|
3374 |
+
"loss": 0.7391,
|
3375 |
+
"step": 241
|
3376 |
+
},
|
3377 |
+
{
|
3378 |
+
"epoch": 1.91,
|
3379 |
+
"eval_loss": 0.9424855709075928,
|
3380 |
+
"eval_runtime": 11.4265,
|
3381 |
+
"eval_samples_per_second": 4.988,
|
3382 |
+
"eval_steps_per_second": 1.663,
|
3383 |
+
"step": 241
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 1.92,
|
3387 |
+
"learning_rate": 3.597883597883598e-05,
|
3388 |
+
"loss": 0.9334,
|
3389 |
+
"step": 242
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"epoch": 1.92,
|
3393 |
+
"eval_loss": 0.9417003393173218,
|
3394 |
+
"eval_runtime": 11.2556,
|
3395 |
+
"eval_samples_per_second": 5.064,
|
3396 |
+
"eval_steps_per_second": 1.688,
|
3397 |
+
"step": 242
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 1.93,
|
3401 |
+
"learning_rate": 3.571428571428572e-05,
|
3402 |
+
"loss": 1.0044,
|
3403 |
+
"step": 243
|
3404 |
+
},
|
3405 |
+
{
|
3406 |
+
"epoch": 1.93,
|
3407 |
+
"eval_loss": 0.9410524368286133,
|
3408 |
+
"eval_runtime": 11.3604,
|
3409 |
+
"eval_samples_per_second": 5.017,
|
3410 |
+
"eval_steps_per_second": 1.672,
|
3411 |
+
"step": 243
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 1.94,
|
3415 |
+
"learning_rate": 3.5449735449735446e-05,
|
3416 |
+
"loss": 0.8364,
|
3417 |
+
"step": 244
|
3418 |
+
},
|
3419 |
+
{
|
3420 |
+
"epoch": 1.94,
|
3421 |
+
"eval_loss": 0.9403824806213379,
|
3422 |
+
"eval_runtime": 11.2473,
|
3423 |
+
"eval_samples_per_second": 5.068,
|
3424 |
+
"eval_steps_per_second": 1.689,
|
3425 |
+
"step": 244
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 1.94,
|
3429 |
+
"learning_rate": 3.518518518518519e-05,
|
3430 |
+
"loss": 0.8561,
|
3431 |
+
"step": 245
|
3432 |
+
},
|
3433 |
+
{
|
3434 |
+
"epoch": 1.94,
|
3435 |
+
"eval_loss": 0.9392634630203247,
|
3436 |
+
"eval_runtime": 11.46,
|
3437 |
+
"eval_samples_per_second": 4.974,
|
3438 |
+
"eval_steps_per_second": 1.658,
|
3439 |
+
"step": 245
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 1.95,
|
3443 |
+
"learning_rate": 3.492063492063492e-05,
|
3444 |
+
"loss": 0.7015,
|
3445 |
+
"step": 246
|
3446 |
+
},
|
3447 |
+
{
|
3448 |
+
"epoch": 1.95,
|
3449 |
+
"eval_loss": 0.9377325773239136,
|
3450 |
+
"eval_runtime": 11.6413,
|
3451 |
+
"eval_samples_per_second": 4.896,
|
3452 |
+
"eval_steps_per_second": 1.632,
|
3453 |
+
"step": 246
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 1.96,
|
3457 |
+
"learning_rate": 3.465608465608466e-05,
|
3458 |
+
"loss": 0.7486,
|
3459 |
+
"step": 247
|
3460 |
+
},
|
3461 |
+
{
|
3462 |
+
"epoch": 1.96,
|
3463 |
+
"eval_loss": 0.9382759928703308,
|
3464 |
+
"eval_runtime": 11.5771,
|
3465 |
+
"eval_samples_per_second": 4.924,
|
3466 |
+
"eval_steps_per_second": 1.641,
|
3467 |
+
"step": 247
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 1.97,
|
3471 |
+
"learning_rate": 3.439153439153439e-05,
|
3472 |
+
"loss": 0.8333,
|
3473 |
+
"step": 248
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 1.97,
|
3477 |
+
"eval_loss": 0.9375688433647156,
|
3478 |
+
"eval_runtime": 11.2607,
|
3479 |
+
"eval_samples_per_second": 5.062,
|
3480 |
+
"eval_steps_per_second": 1.687,
|
3481 |
+
"step": 248
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 1.98,
|
3485 |
+
"learning_rate": 3.412698412698413e-05,
|
3486 |
+
"loss": 0.8034,
|
3487 |
+
"step": 249
|
3488 |
+
},
|
3489 |
+
{
|
3490 |
+
"epoch": 1.98,
|
3491 |
+
"eval_loss": 0.9364966750144958,
|
3492 |
+
"eval_runtime": 11.227,
|
3493 |
+
"eval_samples_per_second": 5.077,
|
3494 |
+
"eval_steps_per_second": 1.692,
|
3495 |
+
"step": 249
|
3496 |
+
},
|
3497 |
+
{
|
3498 |
+
"epoch": 1.98,
|
3499 |
+
"learning_rate": 3.386243386243386e-05,
|
3500 |
+
"loss": 0.8792,
|
3501 |
+
"step": 250
|
3502 |
+
},
|
3503 |
+
{
|
3504 |
+
"epoch": 1.98,
|
3505 |
+
"eval_loss": 0.9363824129104614,
|
3506 |
+
"eval_runtime": 11.3231,
|
3507 |
+
"eval_samples_per_second": 5.034,
|
3508 |
+
"eval_steps_per_second": 1.678,
|
3509 |
+
"step": 250
|
3510 |
+
},
|
3511 |
+
{
|
3512 |
+
"epoch": 1.99,
|
3513 |
+
"learning_rate": 3.35978835978836e-05,
|
3514 |
+
"loss": 0.8516,
|
3515 |
+
"step": 251
|
3516 |
+
},
|
3517 |
+
{
|
3518 |
+
"epoch": 1.99,
|
3519 |
+
"eval_loss": 0.9360049962997437,
|
3520 |
+
"eval_runtime": 11.3097,
|
3521 |
+
"eval_samples_per_second": 5.04,
|
3522 |
+
"eval_steps_per_second": 1.68,
|
3523 |
+
"step": 251
|
3524 |
+
},
|
3525 |
+
{
|
3526 |
+
"epoch": 2.0,
|
3527 |
+
"learning_rate": 3.3333333333333335e-05,
|
3528 |
+
"loss": 0.8426,
|
3529 |
+
"step": 252
|
3530 |
+
},
|
3531 |
+
{
|
3532 |
+
"epoch": 2.0,
|
3533 |
+
"eval_loss": 0.9354138374328613,
|
3534 |
+
"eval_runtime": 11.3548,
|
3535 |
+
"eval_samples_per_second": 5.02,
|
3536 |
+
"eval_steps_per_second": 1.673,
|
3537 |
+
"step": 252
|
3538 |
+
},
|
3539 |
+
{
|
3540 |
+
"epoch": 2.01,
|
3541 |
+
"learning_rate": 3.306878306878307e-05,
|
3542 |
+
"loss": 0.7673,
|
3543 |
+
"step": 253
|
3544 |
+
},
|
3545 |
+
{
|
3546 |
+
"epoch": 2.01,
|
3547 |
+
"eval_loss": 0.935636043548584,
|
3548 |
+
"eval_runtime": 11.2919,
|
3549 |
+
"eval_samples_per_second": 5.048,
|
3550 |
+
"eval_steps_per_second": 1.683,
|
3551 |
+
"step": 253
|
3552 |
+
},
|
3553 |
+
{
|
3554 |
+
"epoch": 2.02,
|
3555 |
+
"learning_rate": 3.280423280423281e-05,
|
3556 |
+
"loss": 0.7638,
|
3557 |
+
"step": 254
|
3558 |
+
},
|
3559 |
+
{
|
3560 |
+
"epoch": 2.02,
|
3561 |
+
"eval_loss": 0.9350641369819641,
|
3562 |
+
"eval_runtime": 11.586,
|
3563 |
+
"eval_samples_per_second": 4.92,
|
3564 |
+
"eval_steps_per_second": 1.64,
|
3565 |
+
"step": 254
|
3566 |
+
}
|
3567 |
+
],
|
3568 |
+
"logging_steps": 1,
|
3569 |
+
"max_steps": 378,
|
3570 |
+
"num_input_tokens_seen": 0,
|
3571 |
+
"num_train_epochs": 3,
|
3572 |
+
"save_steps": 1,
|
3573 |
+
"total_flos": 6722291169718272.0,
|
3574 |
+
"train_batch_size": 4,
|
3575 |
+
"trial_name": null,
|
3576 |
+
"trial_params": null
|
3577 |
+
}
|
checkpoint-254/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21ebce185f4cf8a72d849ddd59a0d404ad4285dbbb457099ca03460f0ebf9d53
|
3 |
+
size 4728
|
checkpoint-378/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: liuhaotian/llava-v1.5-7b
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-378/adapter_config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "LlavaLlamaForCausalLM",
|
5 |
+
"parent_library": "llava.model.language_model.llava_llama"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "liuhaotian/llava-v1.5-7b",
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_dropout": 0.05,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 16,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"out_projfc1",
|
27 |
+
"down_proj",
|
28 |
+
"gate_proj",
|
29 |
+
"o_proj",
|
30 |
+
"q_proj",
|
31 |
+
"fc2model.mm_projector.0",
|
32 |
+
"v_proj",
|
33 |
+
"up_proj",
|
34 |
+
"k_proj",
|
35 |
+
"model.mm_projector.2"
|
36 |
+
],
|
37 |
+
"task_type": null,
|
38 |
+
"use_dora": false,
|
39 |
+
"use_rslora": false
|
40 |
+
}
|
checkpoint-378/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3dfcdc535390ba42c03db5c7d7bb0749bf151eb37f893c0b4c2b9d9304e590a
|
3 |
+
size 85021296
|
checkpoint-378/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d5f4890f3c0755e581fe93bf2bfbe2496976dcbfbc59e38de99d282ab1bc20da
|
3 |
+
size 160812632
|
checkpoint-378/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5bac4d8307755eb2ce164700667aa07768522aea0f67a4da4226ef937903ad84
|
3 |
+
size 14244
|
checkpoint-378/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ec3657a353fdb756c65955d3c93beb7d6a30da959bfeaa033c089d99748130a
|
3 |
+
size 1064
|
checkpoint-378/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-378/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21ebce185f4cf8a72d849ddd59a0d404ad4285dbbb457099ca03460f0ebf9d53
|
3 |
+
size 4728
|