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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: AR_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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# AR_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: 4.2367 |
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- Accuracy: 0.2736 |
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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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| 1.4164 | 1.0 | 1016 | 5.4871 | 0.1412 | |
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| 1.259 | 2.0 | 2032 | 5.2153 | 0.1550 | |
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| 1.2097 | 3.0 | 3048 | 5.0556 | 0.1682 | |
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| 1.1584 | 4.0 | 4064 | 4.8088 | 0.1964 | |
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| 1.0942 | 5.0 | 5080 | 4.5993 | 0.2221 | |
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| 1.0487 | 6.0 | 6096 | 4.4708 | 0.2409 | |
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| 1.0156 | 7.0 | 7112 | 4.3843 | 0.2520 | |
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| 0.9895 | 8.0 | 8128 | 4.3157 | 0.2627 | |
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| 0.9678 | 9.0 | 9144 | 4.2638 | 0.2698 | |
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| 0.9507 | 10.0 | 10160 | 4.2367 | 0.2736 | |
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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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