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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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# MTL-bert-base-uncased
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 15.4115
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- eval_samples_per_second: 45.096
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- eval_steps_per_second: 5.645
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- epoch: 9.11
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- step: 7152
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 1.
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- Tokenizers 0.
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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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# MTL-bert-base-uncased
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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: 2.2486
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 94 | 2.6014 |
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| No log | 2.0 | 188 | 2.3898 |
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| No log | 3.0 | 282 | 2.3706 |
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| No log | 4.0 | 376 | 2.2708 |
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| No log | 5.0 | 470 | 2.2666 |
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| 2.5403 | 6.0 | 564 | 2.2639 |
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| 2.5403 | 7.0 | 658 | 2.3061 |
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| 2.5403 | 8.0 | 752 | 2.2659 |
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| 2.5403 | 9.0 | 846 | 2.1882 |
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| 2.5403 | 10.0 | 940 | 2.2198 |
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| 2.2739 | 11.0 | 1034 | 2.1124 |
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| 2.2739 | 12.0 | 1128 | 2.1887 |
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| 2.2739 | 13.0 | 1222 | 2.1740 |
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| 2.2739 | 14.0 | 1316 | 2.1517 |
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| 2.2739 | 15.0 | 1410 | 2.1510 |
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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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