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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/mistral-7b-sft-constitutional-ai |
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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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- HuggingFaceH4/cai-conversation-harmless |
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model-index: |
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- name: mistral-7b-dpo-constitutional-ai |
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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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# mistral-7b-dpo-constitutional-ai |
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This model is a fine-tuned version of [alignment-handbook/mistral-7b-sft-constitutional-ai](https://huggingface.co/alignment-handbook/mistral-7b-sft-constitutional-ai) on the HuggingFaceH4/ultrafeedback_binarized and the HuggingFaceH4/cai-conversation-harmless datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6064 |
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- Rewards/chosen: -6.2332 |
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- Rewards/rejected: -9.9320 |
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- Rewards/accuracies: 0.6825 |
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- Rewards/margins: 3.6988 |
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- Logps/rejected: -269.0856 |
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- Logps/chosen: -253.0284 |
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- Logits/rejected: -2.8561 |
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- Logits/chosen: -2.8752 |
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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: 8 |
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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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- total_train_batch_size: 16 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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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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| 0.0884 | 1.94 | 1000 | 0.5467 | -3.4828 | -6.0365 | 0.7025 | 2.5536 | -230.1307 | -225.5250 | -2.9599 | -2.9763 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0a0+32f93b1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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