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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: bert-base-uncased-New_data_bert1 |
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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-base-uncased-New_data_bert1 |
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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: 1.9215 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.4496 | 1.0 | 2018 | 2.2066 | |
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| 2.2532 | 2.0 | 4036 | 2.1438 | |
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| 2.1572 | 3.0 | 6054 | 2.1046 | |
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| 2.0839 | 4.0 | 8072 | 2.0943 | |
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| 2.0222 | 5.0 | 10090 | 2.0573 | |
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| 1.9608 | 6.0 | 12108 | 2.0188 | |
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| 1.9123 | 7.0 | 14126 | 2.0008 | |
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| 1.8666 | 8.0 | 16144 | 2.0063 | |
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| 1.8305 | 9.0 | 18162 | 1.9607 | |
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| 1.7958 | 10.0 | 20180 | 1.9702 | |
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| 1.7498 | 11.0 | 22198 | 1.9635 | |
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| 1.7172 | 12.0 | 24216 | 1.9404 | |
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| 1.695 | 13.0 | 26234 | 1.9455 | |
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| 1.6628 | 14.0 | 28252 | 1.9269 | |
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| 1.6558 | 15.0 | 30270 | 1.9173 | |
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| 1.6293 | 16.0 | 32288 | 1.9215 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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