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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_cosi_new_step10_0_70 |
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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_cosi_new_step10_0_70 |
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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_cosi_new_step10_0_70 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5004 |
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- Rewards/chosen: 0.6967 |
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- Rewards/rejected: -2.0150 |
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- Rewards/accuracies: 0.8006 |
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- Rewards/margins: 2.7116 |
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- Logps/rejected: -216.6696 |
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- Logps/chosen: -251.2154 |
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- Logits/rejected: -2.3392 |
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- Logits/chosen: -2.3776 |
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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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| 0.5778 | 0.5348 | 50 | 0.5711 | 1.2153 | -0.0689 | 0.7560 | 1.2843 | -197.2090 | -246.0286 | -2.3540 | -2.3824 | |
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| 0.232 | 1.0695 | 100 | 0.4935 | 0.9389 | -1.0786 | 0.8036 | 2.0175 | -207.3059 | -248.7935 | -2.4977 | -2.5262 | |
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| 0.2427 | 1.6043 | 150 | 0.4994 | 0.6147 | -1.7279 | 0.8185 | 2.3426 | -213.7988 | -252.0355 | -2.1963 | -2.2464 | |
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| 0.1239 | 2.1390 | 200 | 0.4941 | 0.6670 | -1.8992 | 0.8065 | 2.5662 | -215.5122 | -251.5120 | -2.3605 | -2.3958 | |
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| 0.1607 | 2.6738 | 250 | 0.5006 | 0.6972 | -2.0217 | 0.8006 | 2.7190 | -216.7369 | -251.2096 | -2.3349 | -2.3732 | |
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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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