Model save
Browse files
README.md
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: gemma
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: google/gemma-7b
|
9 |
+
datasets:
|
10 |
+
- generator
|
11 |
+
model-index:
|
12 |
+
- name: gemma7b-summarize-gpt4o-8k
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# gemma7b-summarize-gpt4o-8k
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 4.5136
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 0.0002
|
43 |
+
- train_batch_size: 4
|
44 |
+
- eval_batch_size: 4
|
45 |
+
- seed: 42
|
46 |
+
- distributed_type: multi-GPU
|
47 |
+
- num_devices: 2
|
48 |
+
- gradient_accumulation_steps: 2
|
49 |
+
- total_train_batch_size: 16
|
50 |
+
- total_eval_batch_size: 8
|
51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
52 |
+
- lr_scheduler_type: cosine
|
53 |
+
- lr_scheduler_warmup_ratio: 0.1
|
54 |
+
- num_epochs: 10
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
60 |
+
| 1.7584 | 1.0 | 51 | 2.7736 |
|
61 |
+
| 1.0801 | 2.0 | 102 | 2.5391 |
|
62 |
+
| 0.9341 | 3.0 | 153 | 2.5877 |
|
63 |
+
| 0.7796 | 4.0 | 204 | 2.6409 |
|
64 |
+
| 0.6583 | 5.0 | 255 | 2.8397 |
|
65 |
+
| 0.4945 | 6.0 | 306 | 3.1891 |
|
66 |
+
| 0.3891 | 7.0 | 357 | 3.7245 |
|
67 |
+
| 0.3029 | 8.0 | 408 | 4.1951 |
|
68 |
+
| 0.259 | 9.0 | 459 | 4.4996 |
|
69 |
+
| 0.2532 | 10.0 | 510 | 4.5136 |
|
70 |
+
|
71 |
+
|
72 |
+
### Framework versions
|
73 |
+
|
74 |
+
- PEFT 0.10.0
|
75 |
+
- Transformers 4.40.0
|
76 |
+
- Pytorch 2.2.1+cu121
|
77 |
+
- Datasets 2.18.0
|
78 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 50056096
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e37c72c8e377066f1fd2d65bc7e6357ffd561b096563a48fb7260a9d34b9fd33
|
3 |
size 50056096
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 3.8986265891805594e+17,
|
4 |
+
"train_loss": 2.3579357918571024,
|
5 |
+
"train_runtime": 3338.7641,
|
6 |
+
"train_samples": 7499,
|
7 |
+
"train_samples_per_second": 2.441,
|
8 |
+
"train_steps_per_second": 0.153
|
9 |
+
}
|
runs/Jun08_14-13-22_user-WS-C621E-SAGE-Series/events.out.tfevents.1717823650.user-WS-C621E-SAGE-Series.11418.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3ebaf63e54abfcb13324d728e80227a077eaaec3b3ea840f479a2319f427a720
|
3 |
+
size 30111
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 3.8986265891805594e+17,
|
4 |
+
"train_loss": 2.3579357918571024,
|
5 |
+
"train_runtime": 3338.7641,
|
6 |
+
"train_samples": 7499,
|
7 |
+
"train_samples_per_second": 2.441,
|
8 |
+
"train_steps_per_second": 0.153
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,831 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 10.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 510,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0196078431372549,
|
13 |
+
"grad_norm": 494.0,
|
14 |
+
"learning_rate": 3.92156862745098e-06,
|
15 |
+
"loss": 48.0011,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09803921568627451,
|
20 |
+
"grad_norm": 394.0,
|
21 |
+
"learning_rate": 1.9607843137254903e-05,
|
22 |
+
"loss": 46.237,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.19607843137254902,
|
27 |
+
"grad_norm": 131.0,
|
28 |
+
"learning_rate": 3.9215686274509805e-05,
|
29 |
+
"loss": 36.1065,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.29411764705882354,
|
34 |
+
"grad_norm": 36.25,
|
35 |
+
"learning_rate": 5.882352941176471e-05,
|
36 |
+
"loss": 23.9218,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.39215686274509803,
|
41 |
+
"grad_norm": 11.6875,
|
42 |
+
"learning_rate": 7.843137254901961e-05,
|
43 |
+
"loss": 20.3348,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.49019607843137253,
|
48 |
+
"grad_norm": 8.125,
|
49 |
+
"learning_rate": 9.80392156862745e-05,
|
50 |
+
"loss": 19.5012,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.5882352941176471,
|
55 |
+
"grad_norm": 20.375,
|
56 |
+
"learning_rate": 0.00011764705882352942,
|
57 |
+
"loss": 17.6271,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.6862745098039216,
|
62 |
+
"grad_norm": 60.0,
|
63 |
+
"learning_rate": 0.0001372549019607843,
|
64 |
+
"loss": 13.6754,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.7843137254901961,
|
69 |
+
"grad_norm": 11.0625,
|
70 |
+
"learning_rate": 0.00015686274509803922,
|
71 |
+
"loss": 4.1094,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.8823529411764706,
|
76 |
+
"grad_norm": 5.0,
|
77 |
+
"learning_rate": 0.00017647058823529413,
|
78 |
+
"loss": 2.136,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.9803921568627451,
|
83 |
+
"grad_norm": 3.375,
|
84 |
+
"learning_rate": 0.000196078431372549,
|
85 |
+
"loss": 1.7584,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.0,
|
90 |
+
"eval_loss": 2.7735681533813477,
|
91 |
+
"eval_runtime": 2.0507,
|
92 |
+
"eval_samples_per_second": 4.876,
|
93 |
+
"eval_steps_per_second": 0.975,
|
94 |
+
"step": 51
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 1.0784313725490196,
|
98 |
+
"grad_norm": 2.6875,
|
99 |
+
"learning_rate": 0.00019996252538028507,
|
100 |
+
"loss": 1.5368,
|
101 |
+
"step": 55
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.1764705882352942,
|
105 |
+
"grad_norm": 23.125,
|
106 |
+
"learning_rate": 0.00019981033287370443,
|
107 |
+
"loss": 1.4659,
|
108 |
+
"step": 60
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 1.2745098039215685,
|
112 |
+
"grad_norm": 3.640625,
|
113 |
+
"learning_rate": 0.00019954125840299165,
|
114 |
+
"loss": 1.3602,
|
115 |
+
"step": 65
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 1.3725490196078431,
|
119 |
+
"grad_norm": 6.40625,
|
120 |
+
"learning_rate": 0.00019915561706530883,
|
121 |
+
"loss": 1.3083,
|
122 |
+
"step": 70
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.4705882352941178,
|
126 |
+
"grad_norm": 2.53125,
|
127 |
+
"learning_rate": 0.00019865386046236596,
|
128 |
+
"loss": 1.2742,
|
129 |
+
"step": 75
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 1.5686274509803921,
|
133 |
+
"grad_norm": 3.21875,
|
134 |
+
"learning_rate": 0.0001980365761715769,
|
135 |
+
"loss": 1.2384,
|
136 |
+
"step": 80
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 1.6666666666666665,
|
140 |
+
"grad_norm": 3.8125,
|
141 |
+
"learning_rate": 0.00019730448705798239,
|
142 |
+
"loss": 1.1832,
|
143 |
+
"step": 85
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.7647058823529411,
|
147 |
+
"grad_norm": 2.953125,
|
148 |
+
"learning_rate": 0.00019645845042774553,
|
149 |
+
"loss": 1.1402,
|
150 |
+
"step": 90
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.8627450980392157,
|
154 |
+
"grad_norm": 4.6875,
|
155 |
+
"learning_rate": 0.00019549945702421144,
|
156 |
+
"loss": 1.0986,
|
157 |
+
"step": 95
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 1.9607843137254903,
|
161 |
+
"grad_norm": 2.015625,
|
162 |
+
"learning_rate": 0.00019442862986770646,
|
163 |
+
"loss": 1.0801,
|
164 |
+
"step": 100
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.0,
|
168 |
+
"eval_loss": 2.539125442504883,
|
169 |
+
"eval_runtime": 2.0419,
|
170 |
+
"eval_samples_per_second": 4.897,
|
171 |
+
"eval_steps_per_second": 0.979,
|
172 |
+
"step": 102
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 2.0588235294117645,
|
176 |
+
"grad_norm": 42.0,
|
177 |
+
"learning_rate": 0.00019324722294043558,
|
178 |
+
"loss": 1.0191,
|
179 |
+
"step": 105
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 2.156862745098039,
|
183 |
+
"grad_norm": 3.546875,
|
184 |
+
"learning_rate": 0.00019195661971801827,
|
185 |
+
"loss": 0.9673,
|
186 |
+
"step": 110
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 2.2549019607843137,
|
190 |
+
"grad_norm": 1.1484375,
|
191 |
+
"learning_rate": 0.00019055833154938207,
|
192 |
+
"loss": 0.9712,
|
193 |
+
"step": 115
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 2.3529411764705883,
|
197 |
+
"grad_norm": 1.671875,
|
198 |
+
"learning_rate": 0.00018905399588691163,
|
199 |
+
"loss": 0.9414,
|
200 |
+
"step": 120
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.450980392156863,
|
204 |
+
"grad_norm": 1.46875,
|
205 |
+
"learning_rate": 0.00018744537436892516,
|
206 |
+
"loss": 0.9309,
|
207 |
+
"step": 125
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 2.549019607843137,
|
211 |
+
"grad_norm": 2.359375,
|
212 |
+
"learning_rate": 0.00018573435075672424,
|
213 |
+
"loss": 0.9278,
|
214 |
+
"step": 130
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 2.6470588235294117,
|
218 |
+
"grad_norm": 1.5625,
|
219 |
+
"learning_rate": 0.00018392292872863267,
|
220 |
+
"loss": 0.928,
|
221 |
+
"step": 135
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 2.7450980392156863,
|
225 |
+
"grad_norm": 4.6875,
|
226 |
+
"learning_rate": 0.00018201322953360758,
|
227 |
+
"loss": 0.9431,
|
228 |
+
"step": 140
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 2.843137254901961,
|
232 |
+
"grad_norm": 1.7578125,
|
233 |
+
"learning_rate": 0.00018000748950717038,
|
234 |
+
"loss": 0.934,
|
235 |
+
"step": 145
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 2.9411764705882355,
|
239 |
+
"grad_norm": 4.8125,
|
240 |
+
"learning_rate": 0.00017790805745256704,
|
241 |
+
"loss": 0.9341,
|
242 |
+
"step": 150
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 3.0,
|
246 |
+
"eval_loss": 2.587712049484253,
|
247 |
+
"eval_runtime": 2.0445,
|
248 |
+
"eval_samples_per_second": 4.891,
|
249 |
+
"eval_steps_per_second": 0.978,
|
250 |
+
"step": 153
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 3.0392156862745097,
|
254 |
+
"grad_norm": 1.2578125,
|
255 |
+
"learning_rate": 0.00017571739189022365,
|
256 |
+
"loss": 0.8748,
|
257 |
+
"step": 155
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 3.1372549019607843,
|
261 |
+
"grad_norm": 1.765625,
|
262 |
+
"learning_rate": 0.00017343805817871886,
|
263 |
+
"loss": 0.805,
|
264 |
+
"step": 160
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 3.235294117647059,
|
268 |
+
"grad_norm": 1.828125,
|
269 |
+
"learning_rate": 0.00017107272551064473,
|
270 |
+
"loss": 0.7843,
|
271 |
+
"step": 165
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 3.3333333333333335,
|
275 |
+
"grad_norm": 5.40625,
|
276 |
+
"learning_rate": 0.0001686241637868734,
|
277 |
+
"loss": 0.7917,
|
278 |
+
"step": 170
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.431372549019608,
|
282 |
+
"grad_norm": 1.21875,
|
283 |
+
"learning_rate": 0.00016609524037289019,
|
284 |
+
"loss": 0.8003,
|
285 |
+
"step": 175
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 3.5294117647058822,
|
289 |
+
"grad_norm": 0.94140625,
|
290 |
+
"learning_rate": 0.0001634889167409923,
|
291 |
+
"loss": 0.7639,
|
292 |
+
"step": 180
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 3.627450980392157,
|
296 |
+
"grad_norm": 1.3046875,
|
297 |
+
"learning_rate": 0.00016080824500228367,
|
298 |
+
"loss": 0.7796,
|
299 |
+
"step": 185
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 3.7254901960784315,
|
303 |
+
"grad_norm": 1.8515625,
|
304 |
+
"learning_rate": 0.00015805636433252891,
|
305 |
+
"loss": 0.7783,
|
306 |
+
"step": 190
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 3.8235294117647056,
|
310 |
+
"grad_norm": 1.265625,
|
311 |
+
"learning_rate": 0.0001552364972960506,
|
312 |
+
"loss": 0.7854,
|
313 |
+
"step": 195
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 3.9215686274509802,
|
317 |
+
"grad_norm": 2.9375,
|
318 |
+
"learning_rate": 0.00015235194607197508,
|
319 |
+
"loss": 0.7796,
|
320 |
+
"step": 200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.0,
|
324 |
+
"eval_loss": 2.6408610343933105,
|
325 |
+
"eval_runtime": 2.0419,
|
326 |
+
"eval_samples_per_second": 4.897,
|
327 |
+
"eval_steps_per_second": 0.979,
|
328 |
+
"step": 204
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 4.019607843137255,
|
332 |
+
"grad_norm": 1.8828125,
|
333 |
+
"learning_rate": 0.0001494060885872464,
|
334 |
+
"loss": 0.7823,
|
335 |
+
"step": 205
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 4.117647058823529,
|
339 |
+
"grad_norm": 16.875,
|
340 |
+
"learning_rate": 0.00014640237456093634,
|
341 |
+
"loss": 0.6465,
|
342 |
+
"step": 210
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 4.215686274509804,
|
346 |
+
"grad_norm": 1.0625,
|
347 |
+
"learning_rate": 0.00014334432146448272,
|
348 |
+
"loss": 0.621,
|
349 |
+
"step": 215
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 4.313725490196078,
|
353 |
+
"grad_norm": 1.5625,
|
354 |
+
"learning_rate": 0.00014023551040258725,
|
355 |
+
"loss": 0.612,
|
356 |
+
"step": 220
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 4.411764705882353,
|
360 |
+
"grad_norm": 1.3828125,
|
361 |
+
"learning_rate": 0.00013707958191959608,
|
362 |
+
"loss": 0.6456,
|
363 |
+
"step": 225
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 4.509803921568627,
|
367 |
+
"grad_norm": 1.375,
|
368 |
+
"learning_rate": 0.00013388023173627414,
|
369 |
+
"loss": 0.6361,
|
370 |
+
"step": 230
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 4.607843137254902,
|
374 |
+
"grad_norm": 1.0234375,
|
375 |
+
"learning_rate": 0.00013064120642196548,
|
376 |
+
"loss": 0.6487,
|
377 |
+
"step": 235
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 4.705882352941177,
|
381 |
+
"grad_norm": 0.921875,
|
382 |
+
"learning_rate": 0.0001273662990072083,
|
383 |
+
"loss": 0.6424,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 4.803921568627451,
|
388 |
+
"grad_norm": 0.8984375,
|
389 |
+
"learning_rate": 0.00012405934454194146,
|
390 |
+
"loss": 0.653,
|
391 |
+
"step": 245
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 4.901960784313726,
|
395 |
+
"grad_norm": 0.953125,
|
396 |
+
"learning_rate": 0.00012072421560450497,
|
397 |
+
"loss": 0.6493,
|
398 |
+
"step": 250
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 5.0,
|
402 |
+
"grad_norm": 1.0703125,
|
403 |
+
"learning_rate": 0.00011736481776669306,
|
404 |
+
"loss": 0.6583,
|
405 |
+
"step": 255
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 5.0,
|
409 |
+
"eval_loss": 2.8397467136383057,
|
410 |
+
"eval_runtime": 2.0446,
|
411 |
+
"eval_samples_per_second": 4.891,
|
412 |
+
"eval_steps_per_second": 0.978,
|
413 |
+
"step": 255
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 5.098039215686274,
|
417 |
+
"grad_norm": 1.9609375,
|
418 |
+
"learning_rate": 0.00011398508502017047,
|
419 |
+
"loss": 0.5107,
|
420 |
+
"step": 260
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 5.196078431372549,
|
424 |
+
"grad_norm": 1.09375,
|
425 |
+
"learning_rate": 0.00011058897516960816,
|
426 |
+
"loss": 0.4939,
|
427 |
+
"step": 265
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 5.294117647058823,
|
431 |
+
"grad_norm": 1.0859375,
|
432 |
+
"learning_rate": 0.00010718046519793276,
|
433 |
+
"loss": 0.4931,
|
434 |
+
"step": 270
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 5.392156862745098,
|
438 |
+
"grad_norm": 1.1328125,
|
439 |
+
"learning_rate": 0.00010376354660911771,
|
440 |
+
"loss": 0.4983,
|
441 |
+
"step": 275
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 5.490196078431373,
|
445 |
+
"grad_norm": 1.0390625,
|
446 |
+
"learning_rate": 0.00010034222075396953,
|
447 |
+
"loss": 0.5112,
|
448 |
+
"step": 280
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 5.588235294117647,
|
452 |
+
"grad_norm": 1.0546875,
|
453 |
+
"learning_rate": 9.692049414438299e-05,
|
454 |
+
"loss": 0.4841,
|
455 |
+
"step": 285
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 5.686274509803922,
|
459 |
+
"grad_norm": 1.0078125,
|
460 |
+
"learning_rate": 9.350237376155269e-05,
|
461 |
+
"loss": 0.4976,
|
462 |
+
"step": 290
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 5.784313725490196,
|
466 |
+
"grad_norm": 1.0390625,
|
467 |
+
"learning_rate": 9.00918623636349e-05,
|
468 |
+
"loss": 0.4954,
|
469 |
+
"step": 295
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 5.882352941176471,
|
473 |
+
"grad_norm": 1.125,
|
474 |
+
"learning_rate": 8.669295379835467e-05,
|
475 |
+
"loss": 0.4989,
|
476 |
+
"step": 300
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 5.980392156862745,
|
480 |
+
"grad_norm": 0.96484375,
|
481 |
+
"learning_rate": 8.330962832604747e-05,
|
482 |
+
"loss": 0.4945,
|
483 |
+
"step": 305
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 6.0,
|
487 |
+
"eval_loss": 3.189112424850464,
|
488 |
+
"eval_runtime": 2.0474,
|
489 |
+
"eval_samples_per_second": 4.884,
|
490 |
+
"eval_steps_per_second": 0.977,
|
491 |
+
"step": 306
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 6.078431372549019,
|
495 |
+
"grad_norm": 1.03125,
|
496 |
+
"learning_rate": 7.994584795861249e-05,
|
497 |
+
"loss": 0.4204,
|
498 |
+
"step": 310
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 6.176470588235294,
|
502 |
+
"grad_norm": 1.109375,
|
503 |
+
"learning_rate": 7.660555181983518e-05,
|
504 |
+
"loss": 0.3844,
|
505 |
+
"step": 315
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 6.2745098039215685,
|
509 |
+
"grad_norm": 1.21875,
|
510 |
+
"learning_rate": 7.329265153251285e-05,
|
511 |
+
"loss": 0.3839,
|
512 |
+
"step": 320
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 6.372549019607844,
|
516 |
+
"grad_norm": 0.9453125,
|
517 |
+
"learning_rate": 7.001102663778533e-05,
|
518 |
+
"loss": 0.3772,
|
519 |
+
"step": 325
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 6.470588235294118,
|
523 |
+
"grad_norm": 0.99609375,
|
524 |
+
"learning_rate": 6.676452005203406e-05,
|
525 |
+
"loss": 0.3877,
|
526 |
+
"step": 330
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 6.568627450980392,
|
530 |
+
"grad_norm": 1.0078125,
|
531 |
+
"learning_rate": 6.355693356667065e-05,
|
532 |
+
"loss": 0.388,
|
533 |
+
"step": 335
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 6.666666666666667,
|
537 |
+
"grad_norm": 0.98046875,
|
538 |
+
"learning_rate": 6.039202339608432e-05,
|
539 |
+
"loss": 0.3832,
|
540 |
+
"step": 340
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 6.764705882352941,
|
544 |
+
"grad_norm": 1.0859375,
|
545 |
+
"learning_rate": 5.727349577896194e-05,
|
546 |
+
"loss": 0.3926,
|
547 |
+
"step": 345
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 6.862745098039216,
|
551 |
+
"grad_norm": 1.046875,
|
552 |
+
"learning_rate": 5.4205002638131406e-05,
|
553 |
+
"loss": 0.387,
|
554 |
+
"step": 350
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 6.96078431372549,
|
558 |
+
"grad_norm": 0.98046875,
|
559 |
+
"learning_rate": 5.119013730401152e-05,
|
560 |
+
"loss": 0.3891,
|
561 |
+
"step": 355
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 7.0,
|
565 |
+
"eval_loss": 3.7245430946350098,
|
566 |
+
"eval_runtime": 2.0488,
|
567 |
+
"eval_samples_per_second": 4.881,
|
568 |
+
"eval_steps_per_second": 0.976,
|
569 |
+
"step": 357
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 7.0588235294117645,
|
573 |
+
"grad_norm": 0.81640625,
|
574 |
+
"learning_rate": 4.823243030667576e-05,
|
575 |
+
"loss": 0.3491,
|
576 |
+
"step": 360
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 7.1568627450980395,
|
580 |
+
"grad_norm": 1.0546875,
|
581 |
+
"learning_rate": 4.533534524145756e-05,
|
582 |
+
"loss": 0.3038,
|
583 |
+
"step": 365
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 7.254901960784314,
|
587 |
+
"grad_norm": 0.91015625,
|
588 |
+
"learning_rate": 4.250227471293935e-05,
|
589 |
+
"loss": 0.3093,
|
590 |
+
"step": 370
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 7.352941176470588,
|
594 |
+
"grad_norm": 0.99609375,
|
595 |
+
"learning_rate": 3.973653636207437e-05,
|
596 |
+
"loss": 0.3096,
|
597 |
+
"step": 375
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 7.450980392156863,
|
601 |
+
"grad_norm": 0.94921875,
|
602 |
+
"learning_rate": 3.7041368981094024e-05,
|
603 |
+
"loss": 0.3137,
|
604 |
+
"step": 380
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 7.549019607843137,
|
608 |
+
"grad_norm": 0.984375,
|
609 |
+
"learning_rate": 3.441992872075027e-05,
|
610 |
+
"loss": 0.3073,
|
611 |
+
"step": 385
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 7.647058823529412,
|
615 |
+
"grad_norm": 0.9375,
|
616 |
+
"learning_rate": 3.187528539433458e-05,
|
617 |
+
"loss": 0.2992,
|
618 |
+
"step": 390
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 7.745098039215686,
|
622 |
+
"grad_norm": 0.93359375,
|
623 |
+
"learning_rate": 2.9410418882801683e-05,
|
624 |
+
"loss": 0.3063,
|
625 |
+
"step": 395
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 7.8431372549019605,
|
629 |
+
"grad_norm": 0.94140625,
|
630 |
+
"learning_rate": 2.702821564520732e-05,
|
631 |
+
"loss": 0.308,
|
632 |
+
"step": 400
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 7.9411764705882355,
|
636 |
+
"grad_norm": 0.8984375,
|
637 |
+
"learning_rate": 2.4731465338547556e-05,
|
638 |
+
"loss": 0.3029,
|
639 |
+
"step": 405
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 8.0,
|
643 |
+
"eval_loss": 4.195121765136719,
|
644 |
+
"eval_runtime": 2.0472,
|
645 |
+
"eval_samples_per_second": 4.885,
|
646 |
+
"eval_steps_per_second": 0.977,
|
647 |
+
"step": 408
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 8.03921568627451,
|
651 |
+
"grad_norm": 0.796875,
|
652 |
+
"learning_rate": 2.252285755095652e-05,
|
653 |
+
"loss": 0.2897,
|
654 |
+
"step": 410
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 8.137254901960784,
|
658 |
+
"grad_norm": 0.80078125,
|
659 |
+
"learning_rate": 2.0404978652089323e-05,
|
660 |
+
"loss": 0.2649,
|
661 |
+
"step": 415
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 8.235294117647058,
|
665 |
+
"grad_norm": 0.87890625,
|
666 |
+
"learning_rate": 1.8380308764377842e-05,
|
667 |
+
"loss": 0.2647,
|
668 |
+
"step": 420
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 8.333333333333334,
|
672 |
+
"grad_norm": 0.828125,
|
673 |
+
"learning_rate": 1.6451218858706374e-05,
|
674 |
+
"loss": 0.2644,
|
675 |
+
"step": 425
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 8.431372549019608,
|
679 |
+
"grad_norm": 0.77734375,
|
680 |
+
"learning_rate": 1.4619967977908156e-05,
|
681 |
+
"loss": 0.2709,
|
682 |
+
"step": 430
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 8.529411764705882,
|
686 |
+
"grad_norm": 0.79296875,
|
687 |
+
"learning_rate": 1.2888700591334223e-05,
|
688 |
+
"loss": 0.2621,
|
689 |
+
"step": 435
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 8.627450980392156,
|
693 |
+
"grad_norm": 0.8125,
|
694 |
+
"learning_rate": 1.1259444083592585e-05,
|
695 |
+
"loss": 0.2628,
|
696 |
+
"step": 440
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 8.72549019607843,
|
700 |
+
"grad_norm": 0.81640625,
|
701 |
+
"learning_rate": 9.734106380398023e-06,
|
702 |
+
"loss": 0.2556,
|
703 |
+
"step": 445
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 8.823529411764707,
|
707 |
+
"grad_norm": 0.765625,
|
708 |
+
"learning_rate": 8.314473714313719e-06,
|
709 |
+
"loss": 0.2611,
|
710 |
+
"step": 450
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 8.92156862745098,
|
714 |
+
"grad_norm": 0.80859375,
|
715 |
+
"learning_rate": 7.002208532999932e-06,
|
716 |
+
"loss": 0.259,
|
717 |
+
"step": 455
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 9.0,
|
721 |
+
"eval_loss": 4.499588966369629,
|
722 |
+
"eval_runtime": 2.0494,
|
723 |
+
"eval_samples_per_second": 4.88,
|
724 |
+
"eval_steps_per_second": 0.976,
|
725 |
+
"step": 459
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 9.019607843137255,
|
729 |
+
"grad_norm": 0.765625,
|
730 |
+
"learning_rate": 5.798847552420183e-06,
|
731 |
+
"loss": 0.2564,
|
732 |
+
"step": 460
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 9.117647058823529,
|
736 |
+
"grad_norm": 0.74609375,
|
737 |
+
"learning_rate": 4.705799957284351e-06,
|
738 |
+
"loss": 0.2573,
|
739 |
+
"step": 465
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 9.215686274509803,
|
743 |
+
"grad_norm": 0.75,
|
744 |
+
"learning_rate": 3.724345750835878e-06,
|
745 |
+
"loss": 0.2564,
|
746 |
+
"step": 470
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 9.313725490196079,
|
750 |
+
"grad_norm": 0.78515625,
|
751 |
+
"learning_rate": 2.855634255915951e-06,
|
752 |
+
"loss": 0.2487,
|
753 |
+
"step": 475
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 9.411764705882353,
|
757 |
+
"grad_norm": 0.7421875,
|
758 |
+
"learning_rate": 2.100682769059548e-06,
|
759 |
+
"loss": 0.2552,
|
760 |
+
"step": 480
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 9.509803921568627,
|
764 |
+
"grad_norm": 0.765625,
|
765 |
+
"learning_rate": 1.4603753691998735e-06,
|
766 |
+
"loss": 0.253,
|
767 |
+
"step": 485
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 9.607843137254902,
|
771 |
+
"grad_norm": 0.7578125,
|
772 |
+
"learning_rate": 9.354618823758655e-07,
|
773 |
+
"loss": 0.251,
|
774 |
+
"step": 490
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 9.705882352941176,
|
778 |
+
"grad_norm": 0.734375,
|
779 |
+
"learning_rate": 5.265570036553813e-07,
|
780 |
+
"loss": 0.2528,
|
781 |
+
"step": 495
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 9.803921568627452,
|
785 |
+
"grad_norm": 0.76171875,
|
786 |
+
"learning_rate": 2.3413957730226144e-07,
|
787 |
+
"loss": 0.2577,
|
788 |
+
"step": 500
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 9.901960784313726,
|
792 |
+
"grad_norm": 0.7890625,
|
793 |
+
"learning_rate": 5.8552036030179445e-08,
|
794 |
+
"loss": 0.2508,
|
795 |
+
"step": 505
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 10.0,
|
799 |
+
"grad_norm": 0.76953125,
|
800 |
+
"learning_rate": 0.0,
|
801 |
+
"loss": 0.2532,
|
802 |
+
"step": 510
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 10.0,
|
806 |
+
"eval_loss": 4.513559818267822,
|
807 |
+
"eval_runtime": 2.0473,
|
808 |
+
"eval_samples_per_second": 4.884,
|
809 |
+
"eval_steps_per_second": 0.977,
|
810 |
+
"step": 510
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 10.0,
|
814 |
+
"step": 510,
|
815 |
+
"total_flos": 3.8986265891805594e+17,
|
816 |
+
"train_loss": 2.3579357918571024,
|
817 |
+
"train_runtime": 3338.7641,
|
818 |
+
"train_samples_per_second": 2.441,
|
819 |
+
"train_steps_per_second": 0.153
|
820 |
+
}
|
821 |
+
],
|
822 |
+
"logging_steps": 5,
|
823 |
+
"max_steps": 510,
|
824 |
+
"num_input_tokens_seen": 0,
|
825 |
+
"num_train_epochs": 10,
|
826 |
+
"save_steps": 100,
|
827 |
+
"total_flos": 3.8986265891805594e+17,
|
828 |
+
"train_batch_size": 4,
|
829 |
+
"trial_name": null,
|
830 |
+
"trial_params": null
|
831 |
+
}
|