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--- |
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library_name: transformers |
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license: bsd-3-clause |
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base_model: weathon/smiles_llava |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: smiles_llava_ft |
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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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# smiles_llava_ft |
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This model is a fine-tuned version of [weathon/smiles_llava](https://huggingface.co/weathon/smiles_llava) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0768 |
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- Accuracy: 0.7191 |
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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: 5e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 3.3041 | 0.9569 | 100 | 3.5557 | 0.0 | |
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| 2.3241 | 1.9091 | 200 | 2.5052 | 0.1835 | |
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| 2.029 | 2.8612 | 300 | 2.2936 | 0.5056 | |
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| 1.9409 | 3.8134 | 400 | 2.2173 | 0.5693 | |
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| 1.9861 | 4.7656 | 500 | 2.1782 | 0.6030 | |
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| 1.9564 | 5.7177 | 600 | 2.1461 | 0.6217 | |
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| 1.9314 | 6.6699 | 700 | 2.1301 | 0.6704 | |
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| 1.8838 | 7.6220 | 800 | 2.1084 | 0.6854 | |
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| 1.9538 | 8.5742 | 900 | 2.1052 | 0.7154 | |
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| 1.8382 | 9.5263 | 1000 | 2.0955 | 0.7191 | |
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| 1.9399 | 10.4785 | 1100 | 2.1008 | 0.6554 | |
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| 1.8231 | 11.4306 | 1200 | 2.0939 | 0.6891 | |
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| 1.8172 | 12.3828 | 1300 | 2.0899 | 0.6929 | |
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| 1.8708 | 13.3349 | 1400 | 2.0800 | 0.7491 | |
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| 1.915 | 14.2871 | 1500 | 2.0776 | 0.7116 | |
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| 1.8387 | 15.2392 | 1600 | 2.0819 | 0.7041 | |
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| 1.8646 | 16.1914 | 1700 | 2.0771 | 0.7228 | |
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| 1.7943 | 17.1435 | 1800 | 2.0770 | 0.7041 | |
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| 1.8878 | 18.0957 | 1900 | 2.0768 | 0.7154 | |
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| 1.841 | 19.0478 | 2000 | 2.0768 | 0.7191 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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