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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: bert-large-cased-finetuned-low20-1-cased-DA-20 |
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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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# bert-large-cased-finetuned-low20-1-cased-DA-20 |
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0643 |
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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: 64 |
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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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- 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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5949 | 1.0 | 1 | 2.1115 | |
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| 2.0432 | 2.0 | 2 | 1.1308 | |
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| 1.8673 | 3.0 | 3 | 2.9839 | |
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| 2.148 | 4.0 | 4 | 3.1041 | |
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| 2.3452 | 5.0 | 5 | 0.8330 | |
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| 2.7264 | 6.0 | 6 | 0.4304 | |
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| 2.2264 | 7.0 | 7 | 0.7261 | |
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| 1.7837 | 8.0 | 8 | 2.6532 | |
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| 2.1499 | 9.0 | 9 | 1.0848 | |
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| 1.8867 | 10.0 | 10 | 1.6630 | |
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| 2.1755 | 11.0 | 11 | 0.9400 | |
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| 2.3771 | 12.0 | 12 | 2.6569 | |
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| 1.9036 | 13.0 | 13 | 2.8530 | |
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| 2.6166 | 14.0 | 14 | 0.5954 | |
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| 2.568 | 15.0 | 15 | 2.6136 | |
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| 2.5912 | 16.0 | 16 | 2.6986 | |
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| 1.245 | 17.0 | 17 | 2.1147 | |
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| 2.1394 | 18.0 | 18 | 1.0086 | |
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| 1.6254 | 19.0 | 19 | 2.1770 | |
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| 1.9212 | 20.0 | 20 | 1.0643 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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