Model save
Browse files- README.md +10 -24
- adapter_config.json +4 -4
- all_results.json +8 -8
- eval_results.json +5 -5
- train_results.json +4 -4
- trainer_state.json +333 -1341
- training_args.bin +1 -1
README.md
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license: other
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- ruozhiba
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba-1e-5-50
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# Yi-6B-ruozhiba-1e-5-50
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.
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| 1.5329 | 10.0 | 550 | 1.8665 |
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| 1.4105 | 11.0 | 605 | 1.8877 |
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| 1.3862 | 12.0 | 660 | 1.9066 |
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| 1.4126 | 13.0 | 715 | 1.9303 |
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| 1.388 | 14.0 | 770 | 1.9449 |
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| 1.3653 | 15.0 | 825 | 1.9637 |
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| 1.361 | 16.0 | 880 | 1.9738 |
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| 1.2944 | 17.0 | 935 | 1.9819 |
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| 1.3433 | 18.0 | 990 | 1.9856 |
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| 1.2058 | 19.0 | 1045 | 1.9871 |
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### Framework versions
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba-1e-5-50
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# Yi-6B-ruozhiba-1e-5-50
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4046
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.8713 | 1.0 | 55 | 1.8389 |
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| 0.1631 | 5.0 | 275 | 2.9787 |
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| 0.0765 | 6.0 | 330 | 3.0907 |
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| 0.0489 | 7.0 | 385 | 3.2638 |
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| 0.0559 | 8.0 | 440 | 3.3750 |
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| 0.0424 | 9.0 | 495 | 3.4014 |
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### Framework versions
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adapter_config.json
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951 |
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|
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|
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}
|
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|
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|
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"save_steps": 55,
|
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"total_flos": 1.879358707856179e+16,
|
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"train_batch_size": 4,
|
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"trial_name": null,
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"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4792
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|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15469a96348f5cb785a51a156b48ad22e68226bd7cb275db840025eac257b8ea
|
3 |
size 4792
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