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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imdb |
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metrics: |
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- accuracy |
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model-index: |
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- name: N_bert_imdb_padding0model |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: imdb |
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type: imdb |
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config: plain_text |
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split: test |
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args: plain_text |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.94052 |
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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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# N_bert_imdb_padding0model |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6575 |
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- Accuracy: 0.9405 |
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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: 16 |
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- eval_batch_size: 16 |
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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 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.2204 | 1.0 | 1563 | 0.2086 | 0.9332 | |
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| 0.1501 | 2.0 | 3126 | 0.2195 | 0.9356 | |
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| 0.0871 | 3.0 | 4689 | 0.3156 | 0.935 | |
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| 0.0555 | 4.0 | 6252 | 0.3170 | 0.9314 | |
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| 0.0362 | 5.0 | 7815 | 0.3568 | 0.9353 | |
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| 0.0282 | 6.0 | 9378 | 0.4438 | 0.9380 | |
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| 0.0199 | 7.0 | 10941 | 0.4900 | 0.9357 | |
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| 0.0219 | 8.0 | 12504 | 0.4963 | 0.9344 | |
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| 0.0115 | 9.0 | 14067 | 0.5554 | 0.9333 | |
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| 0.0078 | 10.0 | 15630 | 0.5974 | 0.9340 | |
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| 0.0087 | 11.0 | 17193 | 0.6081 | 0.9360 | |
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| 0.0038 | 12.0 | 18756 | 0.5909 | 0.9322 | |
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| 0.0096 | 13.0 | 20319 | 0.6002 | 0.9381 | |
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| 0.0061 | 14.0 | 21882 | 0.5645 | 0.9372 | |
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| 0.0057 | 15.0 | 23445 | 0.6415 | 0.9388 | |
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| 0.0019 | 16.0 | 25008 | 0.6901 | 0.9388 | |
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| 0.0005 | 17.0 | 26571 | 0.7099 | 0.9389 | |
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| 0.0 | 18.0 | 28134 | 0.7022 | 0.9392 | |
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| 0.0008 | 19.0 | 29697 | 0.6640 | 0.9398 | |
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| 0.0 | 20.0 | 31260 | 0.6575 | 0.9405 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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