Model save
Browse files- README.md +23 -12
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +530 -58
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
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# Yi-6B-ruozhiba
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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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- 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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### 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
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# Yi-6B-ruozhiba
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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: 4.2495
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## Model description
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.644 | 1.0 | 55 | 2.2811 |
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| 1.9483 | 2.0 | 110 | 1.9384 |
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| 1.7791 | 3.0 | 165 | 1.9109 |
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| 1.6053 | 4.0 | 220 | 1.9560 |
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| 1.3206 | 5.0 | 275 | 2.1674 |
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| 0.9722 | 6.0 | 330 | 2.4236 |
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| 0.7026 | 7.0 | 385 | 2.6935 |
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| 0.4776 | 8.0 | 440 | 3.0005 |
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| 0.3163 | 9.0 | 495 | 3.2703 |
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| 0.2355 | 10.0 | 550 | 3.4524 |
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| 0.1489 | 11.0 | 605 | 3.6805 |
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| 0.1179 | 12.0 | 660 | 3.7960 |
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| 0.0712 | 13.0 | 715 | 3.9715 |
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| 0.0782 | 14.0 | 770 | 4.0284 |
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| 0.0691 | 15.0 | 825 | 4.1576 |
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| 0.0486 | 16.0 | 880 | 4.1690 |
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| 0.0639 | 17.0 | 935 | 4.2094 |
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| 0.0589 | 18.0 | 990 | 4.2436 |
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| 0.042 | 19.0 | 1045 | 4.2491 |
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| 0.0405 | 20.0 | 1100 | 4.2495 |
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### Framework versions
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all_results.json
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{
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"epoch":
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"train_loss":
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"train_runtime":
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"train_samples": 217,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 20.0,
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"eval_loss": 4.249512195587158,
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"eval_runtime": 4.9064,
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"eval_samples": 23,
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"eval_samples_per_second": 4.688,
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"eval_steps_per_second": 1.223,
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"train_loss": 0.5375886155258526,
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"train_runtime": 2988.6301,
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"train_samples": 217,
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"train_samples_per_second": 1.452,
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"train_steps_per_second": 0.368
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}
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eval_results.json
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{
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"epoch":
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"eval_loss":
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"eval_runtime":
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"eval_samples": 23,
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 20.0,
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"eval_loss": 4.249512195587158,
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"eval_runtime": 4.9064,
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"eval_samples": 23,
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"eval_samples_per_second": 4.688,
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"eval_steps_per_second": 1.223
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}
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train_results.json
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{
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"epoch":
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"train_loss":
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"train_runtime":
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"train_samples": 217,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 20.0,
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"train_loss": 0.5375886155258526,
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"train_runtime": 2988.6301,
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"train_samples": 217,
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"train_samples_per_second": 1.452,
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"train_steps_per_second": 0.368
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch":
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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"epoch": 0.02,
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