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--- |
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library_name: transformers |
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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: FR_5000_41 |
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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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# FR_5000_41 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1981 |
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- Accuracy: 0.3858 |
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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: 0.0006 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 41 |
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- optimizer: Use 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: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 10.0 |
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- mixed_precision_training: Native AMP |
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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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| 1.1808 | 1.0 | 1132 | 4.3484 | 0.2245 | |
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| 0.9761 | 2.0 | 2264 | 3.9409 | 0.2771 | |
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| 0.9067 | 3.0 | 3396 | 3.7296 | 0.3072 | |
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| 0.8612 | 4.0 | 4528 | 3.5686 | 0.3292 | |
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| 0.8249 | 5.0 | 5660 | 3.4588 | 0.3459 | |
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| 0.7961 | 6.0 | 6792 | 3.3755 | 0.3591 | |
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| 0.7736 | 7.0 | 7924 | 3.3061 | 0.3692 | |
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| 0.7365 | 8.0 | 9056 | 3.2526 | 0.3776 | |
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| 0.7209 | 9.0 | 10188 | 3.2175 | 0.3829 | |
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| 0.7088 | 10.0 | 11320 | 3.1981 | 0.3858 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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