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--- |
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library_name: transformers |
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license: llama3 |
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base_model: tsavage68/IE_L3_1000steps_1e6rate_SFT |
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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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model-index: |
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- name: IE_L3_100steps_1e7rate_05beta_cSFTDPO |
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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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# IE_L3_100steps_1e7rate_05beta_cSFTDPO |
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This model is a fine-tuned version of [tsavage68/IE_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/IE_L3_1000steps_1e6rate_SFT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1803 |
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- Rewards/chosen: -0.7835 |
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- Rewards/rejected: -7.7662 |
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- Rewards/accuracies: 0.7400 |
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- Rewards/margins: 6.9827 |
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- Logps/rejected: -91.1596 |
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- Logps/chosen: -84.3647 |
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- Logits/rejected: -0.7936 |
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- Logits/chosen: -0.7251 |
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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: 1e-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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_steps: 100 |
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- training_steps: 100 |
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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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| 0.4416 | 0.4 | 50 | 0.3457 | -0.0969 | -1.1506 | 0.7400 | 1.0537 | -77.9284 | -82.9916 | -0.7954 | -0.7373 | |
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| 0.1388 | 0.8 | 100 | 0.1803 | -0.7835 | -7.7662 | 0.7400 | 6.9827 | -91.1596 | -84.3647 | -0.7936 | -0.7251 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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