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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: tokyotech-llm/Swallow-7b-instruct-v0.1 |
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model-index: |
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- name: train_logs |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# train_logs |
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This model is a fine-tuned version of [tokyotech-llm/Swallow-7b-instruct-v0.1](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6776 |
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- Rewards/chosen: 0.1044 |
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- Rewards/rejected: 0.0678 |
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- Rewards/accuracies: 0.5983 |
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- Rewards/margins: 0.0365 |
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- Logps/rejected: -195.0584 |
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- Logps/chosen: -198.8751 |
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- Logits/rejected: -1.2872 |
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- Logits/chosen: -1.2718 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6922 | 0.0351 | 50 | 0.6910 | -0.0173 | -0.0222 | 0.5433 | 0.0050 | -195.9592 | -200.0917 | -1.3115 | -1.2970 | |
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| 0.6915 | 0.0702 | 100 | 0.6841 | 0.0935 | 0.0721 | 0.5900 | 0.0214 | -195.0160 | -198.9837 | -1.2971 | -1.2823 | |
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| 0.6819 | 0.1053 | 150 | 0.6792 | 0.1455 | 0.1116 | 0.5900 | 0.0339 | -194.6210 | -198.4638 | -1.2865 | -1.2708 | |
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| 0.6825 | 0.1404 | 200 | 0.6784 | 0.1161 | 0.0811 | 0.5933 | 0.0350 | -194.9258 | -198.7577 | -1.2871 | -1.2717 | |
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| 0.6791 | 0.1754 | 250 | 0.6769 | 0.1049 | 0.0670 | 0.6183 | 0.0378 | -195.0665 | -198.8701 | -1.2885 | -1.2730 | |
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| 0.6826 | 0.2105 | 300 | 0.6776 | 0.1044 | 0.0678 | 0.5983 | 0.0365 | -195.0584 | -198.8751 | -1.2872 | -1.2718 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
