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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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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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