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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bespokelabs/Bespoke-Stratos-7B |
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tags: |
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- llama-factory |
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- full |
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- trl |
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- dpo |
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- llama-factory |
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- generated_from_trainer |
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model-index: |
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- name: dpo_from_multiple_samples_shortest_numina_aime |
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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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# dpo_from_multiple_samples_shortest_numina_aime |
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This model is a fine-tuned version of [bespokelabs/Bespoke-Stratos-7B](https://huggingface.co/bespokelabs/Bespoke-Stratos-7B) on the mlfoundations-dev/dpo_from_multiple_samples_shortest_numina_aime dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5934 |
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- Rewards/chosen: -7.6229 |
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- Rewards/rejected: -8.1168 |
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- Rewards/accuracies: 0.5859 |
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- Rewards/margins: 0.4940 |
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- Logps/chosen: -0.7623 |
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- Logps/rejected: -0.8117 |
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- Logits/chosen: -0.6184 |
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- Logits/rejected: -0.4483 |
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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: 8e-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 32 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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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/chosen | Logps/rejected | Logits/chosen | Logits/rejected | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:| |
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| 4.3711 | 0.96 | 18 | 4.5934 | -7.6229 | -8.1168 | 0.5859 | 0.4940 | -0.7623 | -0.8117 | -0.6184 | -0.4483 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.3.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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