| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - precision |
| - recall |
| model-index: |
| - name: augment-tweet-bert-large-e4 |
| 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. --> |
|
|
| # augment-tweet-bert-large-e4 |
|
|
| This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4688 |
| - Accuracy: 0.9471 |
| - F1: 0.8656 |
| - Precision: 0.8224 |
| - Recall: 0.9135 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | 0.1265 | 1.0 | 4089 | 0.4889 | 0.9310 | 0.8304 | 0.7661 | 0.9066 | |
| | 0.0733 | 2.0 | 8178 | 0.4880 | 0.9439 | 0.8533 | 0.8322 | 0.8754 | |
| | 0.024 | 3.0 | 12267 | 0.5060 | 0.9478 | 0.8657 | 0.8312 | 0.9031 | |
| | 0.0239 | 4.0 | 16356 | 0.4688 | 0.9471 | 0.8656 | 0.8224 | 0.9135 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
|
|
