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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: baseline_seed-42_1e-3 |
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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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# baseline_seed-42_1e-3 |
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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: 3.1495 |
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- Accuracy: 0.4121 |
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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: 0.001 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 32000 |
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- num_epochs: 20.0 |
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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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| 3.6536 | 1.0 | 17459 | 3.6063 | 0.3536 | |
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| 3.4313 | 2.0 | 34918 | 3.3959 | 0.3757 | |
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| 3.2641 | 3.0 | 52377 | 3.2704 | 0.3901 | |
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| 3.1763 | 4.0 | 69836 | 3.2136 | 0.3968 | |
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| 3.1125 | 5.0 | 87295 | 3.1768 | 0.4015 | |
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| 3.0607 | 6.0 | 104754 | 3.1599 | 0.4039 | |
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| 3.0231 | 7.0 | 122213 | 3.1423 | 0.4063 | |
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| 2.986 | 8.0 | 139672 | 3.1343 | 0.4077 | |
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| 2.9519 | 9.0 | 157131 | 3.1277 | 0.4090 | |
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| 2.9272 | 10.0 | 174590 | 3.1228 | 0.4100 | |
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| 2.9034 | 11.0 | 192049 | 3.1221 | 0.4106 | |
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| 2.8763 | 12.0 | 209508 | 3.1221 | 0.4111 | |
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| 2.851 | 13.0 | 226967 | 3.1256 | 0.4114 | |
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| 2.8383 | 14.0 | 244426 | 3.1238 | 0.4119 | |
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| 2.8084 | 15.0 | 261885 | 3.1268 | 0.4121 | |
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| 2.7877 | 16.0 | 279344 | 3.1320 | 0.4121 | |
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| 2.7651 | 17.0 | 296803 | 3.1339 | 0.4122 | |
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| 2.7424 | 18.0 | 314262 | 3.1409 | 0.4121 | |
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| 2.7208 | 19.0 | 331721 | 3.1441 | 0.4121 | |
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| 2.7009 | 20.0 | 349180 | 3.1495 | 0.4121 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.0 |
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