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--- |
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library_name: transformers |
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license: other |
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base_model: llava-hf/llava-v1.6-mistral-7b-hf |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: AA_preference_l0_0_75 |
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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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# AA_preference_l0_0_75 |
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This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the AA_preference_l0_0_75 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5643 |
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- Rewards/chosen: 1.3942 |
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- Rewards/rejected: -0.7947 |
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- Rewards/accuracies: 0.8000 |
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- Rewards/margins: 2.1889 |
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- Logps/rejected: -224.1609 |
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- Logps/chosen: -246.0838 |
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- Logits/rejected: -2.3264 |
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- Logits/chosen: -2.3596 |
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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: 1e-06 |
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- train_batch_size: 8 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3.0 |
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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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| 0.5946 | 0.7463 | 50 | 0.5850 | 1.2899 | -0.0802 | 0.7333 | 1.3701 | -217.0163 | -247.1266 | -2.3881 | -2.4191 | |
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| 0.255 | 1.4925 | 100 | 0.5857 | 1.4526 | -0.5760 | 0.7958 | 2.0286 | -221.9741 | -245.4996 | -2.4099 | -2.4342 | |
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| 0.1492 | 2.2388 | 150 | 0.5706 | 1.4938 | -0.5466 | 0.7917 | 2.0403 | -221.6795 | -245.0877 | -2.3284 | -2.3634 | |
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| 0.1536 | 2.9851 | 200 | 0.5642 | 1.3949 | -0.7954 | 0.7917 | 2.1903 | -224.1678 | -246.0766 | -2.3262 | -2.3595 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.3 |
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