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--- |
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license: apache-2.0 |
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base_model: tiiuae/falcon-7b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: falcon-7b-dpo-lora |
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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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# falcon-7b-dpo-lora |
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6909 |
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- Rewards/chosen: 0.0159 |
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- Rewards/rejected: 0.0096 |
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- Rewards/accuracies: 0.3175 |
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- Rewards/margins: 0.0063 |
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- Logps/rejected: -88.4353 |
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- Logps/chosen: -109.9771 |
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- Logits/rejected: -14.9384 |
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- Logits/chosen: -14.8499 |
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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: 32 |
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- total_train_batch_size: 512 |
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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: 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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| 0.6927 | 1.0 | 121 | 0.6929 | 0.0035 | 0.0015 | 0.2857 | 0.0020 | -88.5168 | -110.1007 | -14.9346 | -14.8473 | |
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| 0.6915 | 2.0 | 242 | 0.6917 | 0.0116 | 0.0071 | 0.3056 | 0.0045 | -88.4605 | -110.0199 | -14.9351 | -14.8469 | |
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| 0.6913 | 3.0 | 363 | 0.6909 | 0.0159 | 0.0096 | 0.3175 | 0.0063 | -88.4353 | -109.9771 | -14.9384 | -14.8499 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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