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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_new_step10_0_60 |
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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_new_step10_0_60 |
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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_new_step10_0_60 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5930 |
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- Rewards/chosen: 0.5295 |
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- Rewards/rejected: -1.8896 |
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- Rewards/accuracies: 0.7917 |
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- Rewards/margins: 2.4190 |
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- Logps/rejected: -242.2141 |
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- Logps/chosen: -237.5954 |
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- Logits/rejected: -2.0873 |
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- Logits/chosen: -2.1246 |
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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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| 0.5728 | 0.6231 | 50 | 0.5968 | 0.7303 | -0.4694 | 0.7257 | 1.1997 | -228.0123 | -235.5866 | -2.3844 | -2.3915 | |
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| 0.2338 | 1.2461 | 100 | 0.6138 | 0.8569 | -1.0717 | 0.7708 | 1.9286 | -234.0351 | -234.3208 | -2.3760 | -2.3908 | |
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| 0.2653 | 1.8692 | 150 | 0.5830 | 0.4703 | -1.7333 | 0.7847 | 2.2035 | -240.6510 | -238.1874 | -2.0378 | -2.0764 | |
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| 0.1596 | 2.4922 | 200 | 0.5909 | 0.5892 | -1.8017 | 0.7951 | 2.3909 | -241.3353 | -236.9982 | -2.0980 | -2.1340 | |
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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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