| | --- |
| | license: mit |
| | base_model: roberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: roberta-base-isarcasm |
| | 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. --> |
| |
|
| | # roberta-base-isarcasm |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6208 |
| | - Accuracy: 0.7982 |
| | - F1: 0.4317 |
| | - Precision: 0.4304 |
| | - Recall: 0.4331 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | No log | 1.0 | 215 | 0.7162 | 0.8286 | 0.0 | 0.0 | 0.0 | |
| | | No log | 2.0 | 430 | 0.9168 | 0.7143 | 0.1667 | 0.1667 | 0.1667 | |
| | | 0.6391 | 3.0 | 645 | 1.2142 | 0.6857 | 0.1538 | 0.1429 | 0.1667 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.32.0 |
| | - Pytorch 2.1.1+cu121 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| | |
