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--- |
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license: llama2 |
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base_model: elichen3051/llama2-7b-sft-chat-no-template |
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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: llama2-7b-sft-chat-no-template-dpo |
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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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# llama2-7b-sft-chat-no-template-dpo |
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This model is a fine-tuned version of [elichen3051/llama2-7b-sft-chat-no-template](https://huggingface.co/elichen3051/llama2-7b-sft-chat-no-template) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6026 |
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- Rewards/chosen: -0.9396 |
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- Rewards/rejected: -1.3040 |
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- Rewards/accuracies: 0.6560 |
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- Rewards/margins: 0.3644 |
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- Logps/rejected: -372.5772 |
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- Logps/chosen: -371.2111 |
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- Logits/rejected: -1.0199 |
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- Logits/chosen: -1.0320 |
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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: 4 |
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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: 4 |
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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: 16 |
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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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| 0.5619 | 0.9987 | 477 | 0.6026 | -0.9396 | -1.3040 | 0.6560 | 0.3644 | -372.5772 | -371.2111 | -1.0199 | -1.0320 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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