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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-uncased-finetuned-lowR100-4-uncased-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-uncased-finetuned-lowR100-4-uncased-DA-20 |
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2624 |
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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: 30 |
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- eval_batch_size: 30 |
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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: 40.0 |
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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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| No log | 1.0 | 1 | 5.4063 | |
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| 5.9654 | 2.0 | 2 | 6.1913 | |
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| 5.9654 | 3.0 | 3 | 5.8608 | |
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| 5.5864 | 4.0 | 4 | 4.4613 | |
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| 5.5864 | 5.0 | 5 | 5.0257 | |
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| 5.1093 | 6.0 | 6 | 4.7405 | |
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| 5.1093 | 7.0 | 7 | 4.7516 | |
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| 4.3965 | 8.0 | 8 | 3.1646 | |
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| 4.3965 | 9.0 | 9 | 3.7378 | |
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| 3.7825 | 10.0 | 10 | 2.0073 | |
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| 3.7825 | 11.0 | 11 | 5.5725 | |
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| 3.009 | 12.0 | 12 | 3.0077 | |
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| 3.009 | 13.0 | 13 | 2.6288 | |
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| 2.7427 | 14.0 | 14 | 2.8630 | |
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| 2.7427 | 15.0 | 15 | 2.3270 | |
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| 2.4122 | 16.0 | 16 | 3.3092 | |
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| 2.4122 | 17.0 | 17 | 2.7499 | |
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| 2.3707 | 18.0 | 18 | 3.2892 | |
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| 2.3707 | 19.0 | 19 | 2.9385 | |
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| 2.6243 | 20.0 | 20 | 1.5626 | |
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| 2.6243 | 21.0 | 21 | 1.0104 | |
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| 2.1606 | 22.0 | 22 | 3.3464 | |
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| 2.1606 | 23.0 | 23 | 3.9334 | |
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| 2.1419 | 24.0 | 24 | 1.7512 | |
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| 2.1419 | 25.0 | 25 | 2.5855 | |
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| 2.2265 | 26.0 | 26 | 2.2896 | |
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| 2.2265 | 27.0 | 27 | 2.3118 | |
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| 2.2539 | 28.0 | 28 | 2.9997 | |
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| 2.2539 | 29.0 | 29 | 3.0682 | |
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| 2.3866 | 30.0 | 30 | 3.3435 | |
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| 2.3866 | 31.0 | 31 | 3.5848 | |
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| 2.1788 | 32.0 | 32 | 2.4658 | |
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| 2.1788 | 33.0 | 33 | 2.4060 | |
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| 2.0932 | 34.0 | 34 | 2.8497 | |
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| 2.0932 | 35.0 | 35 | 3.8500 | |
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| 1.9799 | 36.0 | 36 | 1.9458 | |
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| 1.9799 | 37.0 | 37 | 2.4557 | |
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| 2.0164 | 38.0 | 38 | 3.3370 | |
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| 2.0164 | 39.0 | 39 | 3.6850 | |
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| 2.1732 | 40.0 | 40 | 1.7986 | |
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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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