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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_cocour_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_cocour_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_cocour_new_step10_0_60 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5132 |
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- Rewards/chosen: 1.2483 |
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- Rewards/rejected: -1.4384 |
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- Rewards/accuracies: 0.8090 |
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- Rewards/margins: 2.6868 |
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- Logps/rejected: -217.5475 |
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- Logps/chosen: -242.1045 |
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- Logits/rejected: -2.5237 |
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- Logits/chosen: -2.5348 |
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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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| 0.5367 | 0.6231 | 50 | 0.5755 | 1.1959 | -0.1615 | 0.7604 | 1.3575 | -204.7787 | -242.6288 | -2.3101 | -2.3204 | |
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| 0.2278 | 1.2461 | 100 | 0.5325 | 1.6096 | -0.6681 | 0.7986 | 2.2777 | -209.8443 | -238.4921 | -2.6060 | -2.6072 | |
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| 0.2926 | 1.8692 | 150 | 0.5151 | 1.0491 | -1.4143 | 0.8194 | 2.4633 | -217.3059 | -244.0971 | -2.4769 | -2.4878 | |
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| 0.1423 | 2.4922 | 200 | 0.5126 | 1.3148 | -1.3120 | 0.8125 | 2.6268 | -216.2832 | -241.4400 | -2.5411 | -2.5506 | |
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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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