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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_text_image_to_text |
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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_text_image_to_text |
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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_text_image_to_text dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4500 |
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- Rewards/chosen: -0.6971 |
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- Rewards/rejected: -4.4006 |
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- Rewards/accuracies: 0.8206 |
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- Rewards/margins: 3.7035 |
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- Logps/rejected: -242.2139 |
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- Logps/chosen: -207.2900 |
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- Logits/rejected: -1.9132 |
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- Logits/chosen: -1.9735 |
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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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| 0.4516 | 0.3623 | 50 | 0.4421 | 0.8113 | -0.8305 | 0.7903 | 1.6418 | -206.5130 | -192.2066 | -1.6310 | -1.7066 | |
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| 0.3759 | 0.7246 | 100 | 0.4121 | -0.0472 | -2.2762 | 0.8145 | 2.2290 | -220.9696 | -200.7911 | -1.7930 | -1.8524 | |
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| 0.149 | 1.0870 | 150 | 0.4205 | 0.5835 | -1.8816 | 0.8206 | 2.4651 | -217.0244 | -194.4847 | -1.6746 | -1.7425 | |
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| 0.1474 | 1.4493 | 200 | 0.4274 | -0.5411 | -3.7374 | 0.8306 | 3.1963 | -235.5818 | -205.7306 | -1.7947 | -1.8599 | |
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| 0.1268 | 1.8116 | 250 | 0.4333 | -0.0670 | -3.3107 | 0.8206 | 3.2437 | -231.3154 | -200.9896 | -2.0993 | -2.1450 | |
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| 0.064 | 2.1739 | 300 | 0.4332 | -0.5167 | -4.0958 | 0.8306 | 3.5792 | -239.1665 | -205.4860 | -1.9327 | -1.9909 | |
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| 0.056 | 2.5362 | 350 | 0.4481 | -0.5224 | -4.1134 | 0.8185 | 3.5910 | -239.3422 | -205.5439 | -1.9163 | -1.9756 | |
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| 0.0721 | 2.8986 | 400 | 0.4507 | -0.7023 | -4.4082 | 0.8185 | 3.7059 | -242.2901 | -207.3426 | -1.9129 | -1.9731 | |
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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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