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--- |
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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: allenai/tulu-2-13b |
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model-index: |
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- name: tulu2-13b-cost-UI-UF-7bjudge |
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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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# tulu2-13b-cost-UI-UF-7bjudge |
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This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6924 |
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- Rewards/chosen: 0.0238 |
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- Rewards/rejected: 0.0217 |
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- Rewards/accuracies: 0.5640 |
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- Rewards/margins: 0.0021 |
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- Rewards/margins Max: 0.0393 |
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- Rewards/margins Min: -0.0362 |
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- Rewards/margins Std: 0.0335 |
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- Logps/rejected: -313.6311 |
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- Logps/chosen: -321.7533 |
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- Logits/rejected: -1.0117 |
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- Logits/chosen: -1.1541 |
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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-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 32 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6643 | 1.0 | 1350 | 0.6924 | 0.0238 | 0.0217 | 0.5640 | 0.0021 | 0.0393 | -0.0362 | 0.0335 | -313.6311 | -321.7533 | -1.0117 | -1.1541 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
