| --- |
| license: apache-2.0 |
| base_model: bert-base-cased |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imdb |
| metrics: |
| - accuracy |
| model-index: |
| - name: sentiment_bert_imdb_10 |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: imdb |
| type: imdb |
| config: plain_text |
| split: test |
| args: plain_text |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.89836 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # sentiment_bert_imdb_10 |
| |
| This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the imdb dataset with only 10% of the training data. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2735 |
| - Accuracy: 0.8984 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 157 | 0.2957 | 0.8820 | |
| | No log | 2.0 | 314 | 0.2735 | 0.8984 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.32.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
| |
