| --- |
| license: mit |
| base_model: digitalepidemiologylab/covid-twitter-bert-v2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: output |
| 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. --> |
|
|
| # output |
|
|
| This model is a fine-tuned version of [digitalepidemiologylab/covid-twitter-bert-v2](https://huggingface.co/digitalepidemiologylab/covid-twitter-bert-v2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0995 |
| - F1: 0.9843 |
|
|
| ## 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: 5e-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: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0127 | 1.0 | 321 | 0.0817 | 0.9781 | |
| | 0.0716 | 2.0 | 642 | 0.1124 | 0.9788 | |
| | 0.0716 | 3.0 | 963 | 0.0804 | 0.9843 | |
| | 0.0255 | 4.0 | 1284 | 0.1176 | 0.9820 | |
| | 0.008 | 5.0 | 1605 | 0.1065 | 0.9820 | |
| | 0.008 | 6.0 | 1926 | 0.0995 | 0.9843 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.37.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
|
|
