| | --- |
| | license: mit |
| | base_model: roberta-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: tweet_sentiments_analysis_roberta |
| | 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. --> |
| |
|
| | # tweet_sentiments_analysis_roberta |
| | |
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6561 |
| | - F1-score: 0.6923 |
| | |
| | ## 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: 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 | F1-score | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.7145 | 1.0 | 1000 | 0.6561 | 0.6923 | |
| | | 0.5824 | 2.0 | 2000 | 0.6652 | 0.7270 | |
| | | 0.4976 | 3.0 | 3000 | 0.7107 | 0.7620 | |
| | | 0.3841 | 4.0 | 4000 | 0.8616 | 0.7777 | |
| | | 0.2911 | 5.0 | 5000 | 1.0504 | 0.7748 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| | |
