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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-base-uncased-coffee20230113 |
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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-coffee20230113 |
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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: 4.9112 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 500 |
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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 | 86 | 4.5257 | |
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| 5.3762 | 2.0 | 172 | 3.1774 | |
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| 3.2552 | 3.0 | 258 | 2.7228 | |
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| 2.227 | 4.0 | 344 | 2.5844 | |
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| 1.6128 | 5.0 | 430 | 2.8589 | |
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| 1.098 | 6.0 | 516 | 2.8712 | |
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| 0.7646 | 7.0 | 602 | 3.4380 | |
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| 0.7646 | 8.0 | 688 | 3.6037 | |
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| 0.4805 | 9.0 | 774 | 4.1493 | |
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| 0.3258 | 10.0 | 860 | 4.2875 | |
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| 0.2224 | 11.0 | 946 | 4.7041 | |
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| 0.1477 | 12.0 | 1032 | 4.3993 | |
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| 0.0699 | 13.0 | 1118 | 4.7922 | |
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| 0.0377 | 14.0 | 1204 | 5.0445 | |
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| 0.0377 | 15.0 | 1290 | 4.9112 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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