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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: RLAIF-V-Coccur-q0_25_preference |
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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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# RLAIF-V-Coccur-q0_25_preference |
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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 RLAIF-V-Coccur-q0_25_preference dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5440 |
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- Rewards/chosen: -2.3911 |
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- Rewards/rejected: -4.1460 |
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- Rewards/accuracies: 0.7188 |
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- Rewards/margins: 1.7550 |
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- Logps/rejected: -201.5194 |
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- Logps/chosen: -183.7933 |
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- Logits/rejected: -2.7049 |
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- Logits/chosen: -2.7311 |
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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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| 0.5904 | 0.6944 | 50 | 0.5585 | 0.1767 | -0.5308 | 0.6953 | 0.7075 | -165.3675 | -158.1156 | -2.7400 | -2.7505 | |
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| 0.2124 | 1.3889 | 100 | 0.5330 | -0.9785 | -2.2414 | 0.7344 | 1.2630 | -182.4733 | -169.6674 | -2.6846 | -2.7028 | |
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| 0.1027 | 2.0833 | 150 | 0.5209 | -1.3289 | -2.7382 | 0.7305 | 1.4093 | -187.4415 | -173.1719 | -2.7648 | -2.7841 | |
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| 0.0793 | 2.7778 | 200 | 0.5435 | -2.3758 | -4.1313 | 0.7227 | 1.7554 | -201.3717 | -183.6412 | -2.7055 | -2.7316 | |
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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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