| | --- |
| | base_model: cardiffnlp/twitter-roberta-base-sentiment |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: TweetRoberta_5epochs |
| | 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. --> |
| |
|
| | # TweetRoberta_5epochs |
| | |
| | This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3387 |
| | - Accuracy: 0.9452 |
| | - F1: 0.9454 |
| | |
| | ## 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: 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: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
| | | 0.2755 | 1.0 | 2500 | 0.4153 | 0.9176 | 0.9129 | |
| | | 0.2107 | 2.0 | 5000 | 0.3076 | 0.9312 | 0.9341 | |
| | | 0.1421 | 3.0 | 7500 | 0.2812 | 0.9428 | 0.9424 | |
| | | 0.081 | 4.0 | 10000 | 0.3304 | 0.9464 | 0.9466 | |
| | | 0.0601 | 5.0 | 12500 | 0.3387 | 0.9452 | 0.9454 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.1 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| | |
