| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: bert-tweeteval-distilbert |
| 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. --> |
|
|
| # bert-tweeteval-distilbert |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3856 |
| - Accuracy: 0.7701 |
| - F1: 0.7191 |
|
|
| ## 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: 100 |
| - seed: 15179996 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.6482 | 1.0 | 204 | 0.6140 | 0.7834 | 0.7183 | |
| | 0.4896 | 2.0 | 408 | 0.6577 | 0.7620 | 0.7002 | |
| | 0.3321 | 3.0 | 612 | 0.6471 | 0.7834 | 0.7244 | |
| | 0.1805 | 4.0 | 816 | 0.8309 | 0.7754 | 0.7145 | |
| | 0.0903 | 5.0 | 1020 | 0.9430 | 0.7647 | 0.7207 | |
| | 0.0523 | 6.0 | 1224 | 1.0135 | 0.7834 | 0.7260 | |
| | 0.0474 | 7.0 | 1428 | 1.1707 | 0.7567 | 0.7056 | |
| | 0.0514 | 8.0 | 1632 | 1.2040 | 0.7701 | 0.7232 | |
| | 0.0129 | 9.0 | 1836 | 1.3856 | 0.7701 | 0.7191 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
