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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_0_50 |
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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_0_50 |
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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_0_50 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5682 |
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- Rewards/chosen: 1.6580 |
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- Rewards/rejected: -0.6999 |
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- Rewards/accuracies: 0.7958 |
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- Rewards/margins: 2.3579 |
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- Logps/rejected: -234.7341 |
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- Logps/chosen: -259.9489 |
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- Logits/rejected: -2.1925 |
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- Logits/chosen: -2.2317 |
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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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| 0.5987 | 0.7463 | 50 | 0.6138 | 1.2435 | -0.1587 | 0.7583 | 1.4022 | -229.3223 | -264.0939 | -2.0743 | -2.1097 | |
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| 0.2776 | 1.4925 | 100 | 0.5807 | 1.7478 | -0.3381 | 0.75 | 2.0860 | -231.1164 | -259.0504 | -2.1973 | -2.2346 | |
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| 0.1711 | 2.2388 | 150 | 0.5595 | 1.4504 | -0.7487 | 0.7833 | 2.1991 | -235.2227 | -262.0249 | -2.1687 | -2.2093 | |
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| 0.1884 | 2.9851 | 200 | 0.5684 | 1.6586 | -0.7002 | 0.7917 | 2.3588 | -234.7375 | -259.9425 | -2.1927 | -2.2319 | |
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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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