| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| datasets: |
| - wnut_17 |
| model-index: |
| - name: my_awesome_wnut_model |
| 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. --> |
|
|
| # my_awesome_wnut_model |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset. |
|
|
| ## 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: |
| - 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: 0.01 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | No log | 0.0141 | 3 | 1.9691 | 0.0327 | 0.0306 | 0.0316 | 0.8881 | |
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| ### Framework versions |
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| - Transformers 4.45.2 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.20.3 |
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|
