End of training
Browse files- README.md +175 -192
- adapter_model.bin +1 -1
- adapter_model.safetensors +1 -1
README.md
CHANGED
@@ -1,204 +1,187 @@
|
|
1 |
---
|
|
|
2 |
library_name: peft
|
|
|
|
|
|
|
3 |
base_model: Qwen/Qwen1.5-7B
|
|
|
|
|
|
|
4 |
---
|
5 |
|
6 |
-
|
|
|
7 |
|
8 |
-
|
|
|
9 |
|
|
|
|
|
|
|
10 |
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
44 |
-
|
45 |
-
|
46 |
-
|
47 |
-
|
48 |
-
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
|
54 |
-
|
55 |
-
|
56 |
-
|
57 |
-
|
58 |
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
-
|
66 |
-
|
67 |
-
|
68 |
-
|
69 |
-
|
70 |
-
|
71 |
-
|
72 |
-
|
73 |
-
|
74 |
-
|
75 |
-
|
76 |
-
|
77 |
-
|
78 |
-
|
79 |
-
|
80 |
-
|
81 |
-
|
82 |
-
|
83 |
-
|
84 |
-
|
85 |
-
|
86 |
-
|
87 |
-
|
88 |
-
|
89 |
-
|
90 |
-
|
91 |
-
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
99 |
-
|
100 |
-
|
101 |
-
|
102 |
-
|
103 |
-
##
|
104 |
-
|
105 |
-
|
106 |
-
|
107 |
-
|
108 |
-
|
109 |
-
|
110 |
-
|
111 |
-
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
116 |
-
|
117 |
-
|
118 |
-
|
119 |
-
|
120 |
-
|
121 |
-
|
122 |
-
|
123 |
-
|
124 |
-
|
125 |
-
|
126 |
-
|
127 |
-
|
128 |
-
|
129 |
-
|
130 |
-
|
131 |
-
|
132 |
-
|
133 |
-
|
134 |
-
|
135 |
-
|
136 |
-
|
137 |
-
|
138 |
-
|
139 |
-
|
140 |
-
|
141 |
-
|
142 |
-
|
143 |
-
|
144 |
-
|
145 |
-
|
146 |
-
|
147 |
-
|
148 |
-
|
149 |
-
|
150 |
-
|
151 |
-
|
152 |
-
|
153 |
-
|
154 |
-
|
155 |
-
|
156 |
-
|
157 |
-
|
158 |
-
|
159 |
-
|
160 |
-
|
161 |
-
|
162 |
-
|
163 |
-
|
164 |
-
|
165 |
-
|
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 |
|
201 |
|
202 |
### Framework versions
|
203 |
|
204 |
-
- PEFT 0.8.2
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
license: other
|
3 |
library_name: peft
|
4 |
+
tags:
|
5 |
+
- axolotl
|
6 |
+
- generated_from_trainer
|
7 |
base_model: Qwen/Qwen1.5-7B
|
8 |
+
model-index:
|
9 |
+
- name: qwen_1.5_odia_7b
|
10 |
+
results: []
|
11 |
---
|
12 |
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
|
16 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
17 |
+
<details><summary>See axolotl config</summary>
|
18 |
|
19 |
+
axolotl version: `0.4.0`
|
20 |
+
```yaml
|
21 |
+
# Qwen/Qwen1.5-7B
|
22 |
|
23 |
+
base_model: Qwen/Qwen1.5-7B
|
24 |
+
model_type: AutoModelForCausalLM
|
25 |
+
tokenizer_type: AutoTokenizer
|
26 |
+
|
27 |
+
# is_qwen_derived_model: true
|
28 |
+
trust_remote_code: true
|
29 |
+
|
30 |
+
load_in_8bit: false
|
31 |
+
load_in_4bit: true
|
32 |
+
strict: false
|
33 |
+
|
34 |
+
datasets:
|
35 |
+
- path: OdiaGenAIdata/culturax-odia
|
36 |
+
type: completion
|
37 |
+
dataset_prepared_path:
|
38 |
+
val_set_size: 0.05
|
39 |
+
output_dir: ./lora-out-qwen-7b-odia
|
40 |
+
hub_model_id: sam2ai/qwen_1.5_odia_7b
|
41 |
+
|
42 |
+
sequence_len: 2048 # supports up to 8192
|
43 |
+
sample_packing: false
|
44 |
+
pad_to_sequence_len:
|
45 |
+
|
46 |
+
adapter: qlora
|
47 |
+
lora_model_dir:
|
48 |
+
lora_r: 32
|
49 |
+
lora_alpha: 16
|
50 |
+
lora_dropout: 0.05
|
51 |
+
lora_target_linear: true
|
52 |
+
lora_fan_in_fan_out:
|
53 |
+
|
54 |
+
wandb_project: Qwen-completion-7b-odia
|
55 |
+
wandb_entity:
|
56 |
+
wandb_watch:
|
57 |
+
wandb_name:
|
58 |
+
wandb_log_model:
|
59 |
+
|
60 |
+
gradient_accumulation_steps: 2
|
61 |
+
micro_batch_size: 1
|
62 |
+
num_epochs: 10
|
63 |
+
optimizer: adamw_bnb_8bit
|
64 |
+
lr_scheduler: cosine
|
65 |
+
learning_rate: 0.0002
|
66 |
+
|
67 |
+
train_on_inputs: false
|
68 |
+
group_by_length: false
|
69 |
+
bf16: auto
|
70 |
+
fp16:
|
71 |
+
tf32: false
|
72 |
+
|
73 |
+
gradient_checkpointing: false
|
74 |
+
early_stopping_patience:
|
75 |
+
resume_from_checkpoint:
|
76 |
+
local_rank:
|
77 |
+
logging_steps: 1
|
78 |
+
xformers_attention:
|
79 |
+
flash_attention:
|
80 |
+
|
81 |
+
warmup_steps: 10
|
82 |
+
evals_per_epoch: 4
|
83 |
+
eval_table_size:
|
84 |
+
eval_table_max_new_tokens: 128
|
85 |
+
saves_per_epoch: 1
|
86 |
+
debug:
|
87 |
+
deepspeed:
|
88 |
+
weight_decay: 0.0
|
89 |
+
fsdp:
|
90 |
+
fsdp_config:
|
91 |
+
special_tokens:
|
92 |
+
|
93 |
+
```
|
94 |
+
|
95 |
+
</details><br>
|
96 |
+
|
97 |
+
# qwen_1.5_odia_7b
|
98 |
+
|
99 |
+
This model is a fine-tuned version of [Qwen/Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) on the None dataset.
|
100 |
+
It achieves the following results on the evaluation set:
|
101 |
+
- Loss: nan
|
102 |
+
|
103 |
+
## Model description
|
104 |
+
|
105 |
+
More information needed
|
106 |
+
|
107 |
+
## Intended uses & limitations
|
108 |
+
|
109 |
+
More information needed
|
110 |
+
|
111 |
+
## Training and evaluation data
|
112 |
+
|
113 |
+
More information needed
|
114 |
+
|
115 |
+
## Training procedure
|
116 |
+
|
117 |
+
### Training hyperparameters
|
118 |
+
|
119 |
+
The following hyperparameters were used during training:
|
120 |
+
- learning_rate: 0.0002
|
121 |
+
- train_batch_size: 1
|
122 |
+
- eval_batch_size: 1
|
123 |
+
- seed: 42
|
124 |
+
- distributed_type: multi-GPU
|
125 |
+
- num_devices: 8
|
126 |
+
- gradient_accumulation_steps: 2
|
127 |
+
- total_train_batch_size: 16
|
128 |
+
- total_eval_batch_size: 8
|
129 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
130 |
+
- lr_scheduler_type: cosine
|
131 |
+
- lr_scheduler_warmup_steps: 10
|
132 |
+
- num_epochs: 10
|
133 |
+
|
134 |
+
### Training results
|
135 |
+
|
136 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
137 |
+
|:-------------:|:-----:|:------:|:---------------:|
|
138 |
+
| 0.8734 | 0.0 | 1 | nan |
|
139 |
+
| 0.377 | 0.25 | 5463 | nan |
|
140 |
+
| 0.3727 | 0.5 | 10926 | nan |
|
141 |
+
| 0.3894 | 0.75 | 16389 | nan |
|
142 |
+
| 0.3933 | 1.0 | 21852 | nan |
|
143 |
+
| 0.3542 | 1.25 | 27315 | nan |
|
144 |
+
| 0.3567 | 1.5 | 32778 | nan |
|
145 |
+
| 0.3557 | 1.75 | 38241 | nan |
|
146 |
+
| 0.3414 | 2.0 | 43704 | nan |
|
147 |
+
| 0.3261 | 2.25 | 49167 | nan |
|
148 |
+
| 0.3813 | 2.5 | 54630 | nan |
|
149 |
+
| 0.3607 | 2.75 | 60093 | nan |
|
150 |
+
| 0.3348 | 3.0 | 65556 | nan |
|
151 |
+
| 0.3464 | 3.25 | 71019 | nan |
|
152 |
+
| 0.3545 | 3.5 | 76482 | nan |
|
153 |
+
| 0.2719 | 3.75 | 81945 | nan |
|
154 |
+
| 0.3158 | 4.0 | 87408 | nan |
|
155 |
+
| 0.3119 | 4.25 | 92871 | nan |
|
156 |
+
| 0.3311 | 4.5 | 98334 | nan |
|
157 |
+
| 0.3335 | 4.75 | 103797 | nan |
|
158 |
+
| 0.3399 | 5.0 | 109260 | nan |
|
159 |
+
| 0.3247 | 5.25 | 114723 | nan |
|
160 |
+
| 0.3166 | 5.5 | 120186 | nan |
|
161 |
+
| 0.3366 | 5.75 | 125649 | nan |
|
162 |
+
| 0.3478 | 6.0 | 131112 | nan |
|
163 |
+
| 0.2852 | 6.25 | 136575 | nan |
|
164 |
+
| 0.2852 | 6.5 | 142038 | nan |
|
165 |
+
| 0.2601 | 6.75 | 147501 | nan |
|
166 |
+
| 0.2734 | 7.0 | 152964 | nan |
|
167 |
+
| 0.2983 | 7.25 | 158427 | nan |
|
168 |
+
| 0.2068 | 7.5 | 163890 | nan |
|
169 |
+
| 0.2355 | 7.75 | 169353 | nan |
|
170 |
+
| 0.2836 | 8.0 | 174816 | nan |
|
171 |
+
| 0.2263 | 8.25 | 180279 | nan |
|
172 |
+
| 0.2953 | 8.5 | 185742 | nan |
|
173 |
+
| 0.257 | 8.75 | 191205 | nan |
|
174 |
+
| 0.2484 | 9.0 | 196668 | nan |
|
175 |
+
| 0.2477 | 9.25 | 202131 | nan |
|
176 |
+
| 0.2641 | 9.5 | 207594 | nan |
|
177 |
+
| 0.2569 | 9.75 | 213057 | nan |
|
178 |
+
| 0.2846 | 10.0 | 218520 | nan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
179 |
|
180 |
|
181 |
### Framework versions
|
182 |
|
183 |
+
- PEFT 0.8.2
|
184 |
+
- Transformers 4.37.0
|
185 |
+
- Pytorch 2.0.1+gita61a294
|
186 |
+
- Datasets 2.16.1
|
187 |
+
- Tokenizers 0.15.0
|
adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 319977229
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:67be4779d8f2240e4475655a9b092cfc7e35639b961c7ba54ff9abdcad3dc1bb
|
3 |
size 319977229
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 319876032
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5b6bc5cee64523c6bcad8089bfde1d73f85a8ead7e493929ef1d0d0f1036012e
|
3 |
size 319876032
|