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--- |
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license: other |
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base_model: lewtun/gemma-7b-sft-full-deita-10k-v0 |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- argilla/dpo-mix-7k |
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model-index: |
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- name: gemma-7b-dpo-full-mix1-beta-0.6 |
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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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# gemma-7b-dpo-full-mix1-beta-0.6 |
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This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-deita-10k-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-deita-10k-v0) on the argilla/dpo-mix-7k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7705 |
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- Rewards/chosen: -4.1281 |
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- Rewards/rejected: -10.8129 |
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- Rewards/accuracies: 0.7188 |
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- Rewards/margins: 6.6848 |
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- Logps/rejected: -469.5710 |
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- Logps/chosen: -460.2846 |
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- Logits/rejected: 102.1504 |
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- Logits/chosen: 108.4323 |
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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: 2 |
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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: 8 |
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- total_train_batch_size: 128 |
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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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### Framework versions |
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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 0.15.1 |
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