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--- |
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license: other |
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base_model: lewtun/gemma-7b-sft-full-ultrachat-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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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: gemma-7b-dpo-full-ultrafeedback-beta-0.01 |
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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-ultrafeedback-beta-0.01 |
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This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-ultrachat-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-ultrachat-v0) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4698 |
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- Rewards/chosen: -1.0027 |
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- Rewards/rejected: -2.3339 |
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- Rewards/accuracies: 0.7698 |
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- Rewards/margins: 1.3312 |
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- Logps/rejected: -1118.8601 |
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- Logps/chosen: -1006.0907 |
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- Logits/rejected: 90.6424 |
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- Logits/chosen: 105.6680 |
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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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| 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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| 0.552 | 0.21 | 100 | 0.5756 | -2.8657 | -3.5901 | 0.7460 | 0.7243 | -1244.4771 | -1192.3933 | 82.3244 | 96.5612 | |
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| 0.501 | 0.42 | 200 | 0.4914 | -1.6427 | -2.6660 | 0.7817 | 1.0233 | -1152.0745 | -1070.0895 | 91.1202 | 105.1467 | |
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| 0.4893 | 0.63 | 300 | 0.4810 | -1.6604 | -2.8398 | 0.7619 | 1.1794 | -1169.4480 | -1071.8550 | 87.4237 | 101.9799 | |
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| 0.4759 | 0.84 | 400 | 0.4718 | -0.8508 | -2.1538 | 0.7817 | 1.3030 | -1100.8470 | -990.8950 | 89.1600 | 104.0108 | |
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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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