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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: bert-base-uncased |
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model-index: |
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- name: MTL-bert-base-uncased-ww |
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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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# MTL-bert-base-uncased-ww |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5261 |
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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: 2e-05 |
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- train_batch_size: 7 |
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- eval_batch_size: 7 |
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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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- num_epochs: 15 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.2964 | 1.0 | 99 | 2.9560 | |
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| 3.0419 | 2.0 | 198 | 2.8336 | |
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| 2.8979 | 3.0 | 297 | 2.8009 | |
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| 2.8815 | 4.0 | 396 | 2.7394 | |
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| 2.8373 | 5.0 | 495 | 2.6813 | |
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| 2.741 | 6.0 | 594 | 2.6270 | |
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| 2.6877 | 7.0 | 693 | 2.5216 | |
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| 2.6823 | 8.0 | 792 | 2.5485 | |
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| 2.6326 | 9.0 | 891 | 2.5690 | |
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| 2.5976 | 10.0 | 990 | 2.6336 | |
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| 2.6009 | 11.0 | 1089 | 2.5919 | |
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| 2.5615 | 12.0 | 1188 | 2.4264 | |
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| 2.5826 | 13.0 | 1287 | 2.5562 | |
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| 2.5693 | 14.0 | 1386 | 2.5529 | |
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| 2.5494 | 15.0 | 1485 | 2.5300 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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