| --- |
| license: apache-2.0 |
| base_model: distilbert-base-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: textclassifier |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # textclassifier |
|
|
| This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.6439 |
| - Accuracy: 0.0 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 4.4693 | 1.0 | 33 | 4.4433 | 0.0 | |
| | 4.4849 | 2.0 | 66 | 4.5026 | 0.0 | |
| | 4.4433 | 3.0 | 99 | 4.5717 | 0.0 | |
| | 4.4234 | 4.0 | 132 | 4.5887 | 0.0 | |
| | 4.4015 | 5.0 | 165 | 4.6163 | 0.0 | |
| | 4.3956 | 6.0 | 198 | 4.6046 | 0.0 | |
| | 4.3878 | 7.0 | 231 | 4.6354 | 0.0 | |
| | 4.3759 | 8.0 | 264 | 4.6372 | 0.0 | |
| | 4.3787 | 9.0 | 297 | 4.6405 | 0.0 | |
| | 4.3678 | 10.0 | 330 | 4.6439 | 0.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.38.1 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
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|
