| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imdb |
| metrics: |
| - accuracy |
| model-index: |
| - name: IMDB_XLNET_5E |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: imdb |
| type: imdb |
| config: plain_text |
| split: train |
| args: plain_text |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.94 |
| --- |
| |
| <!-- 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. --> |
|
|
| # IMDB_XLNET_5E |
|
|
| This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the imdb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3195 |
| - Accuracy: 0.94 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.3192 | 0.63 | 50 | 0.2033 | 0.94 | |
| | 0.196 | 1.27 | 100 | 0.2036 | 0.9467 | |
| | 0.1651 | 1.9 | 150 | 0.2106 | 0.9267 | |
| | 0.0628 | 2.53 | 200 | 0.3531 | 0.92 | |
| | 0.0865 | 3.16 | 250 | 0.2186 | 0.9533 | |
| | 0.0436 | 3.8 | 300 | 0.2718 | 0.9533 | |
| | 0.0254 | 4.43 | 350 | 0.3195 | 0.94 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.24.0 |
| - Pytorch 1.13.0 |
| - Datasets 2.6.1 |
| - Tokenizers 0.13.1 |
|
|
