metadata
base_model: cardiffnlp/twitter-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: university_project
results: []
university_project
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9390
- Accuracy: 0.8431
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: 0
- 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 |
|---|---|---|---|---|
| 0.4989 | 1.0 | 1135 | 0.6014 | 0.8109 |
| 0.3582 | 2.0 | 2270 | 0.4748 | 0.8352 |
| 0.2795 | 3.0 | 3405 | 0.7906 | 0.8427 |
| 0.156 | 4.0 | 4540 | 0.8115 | 0.8400 |
| 0.0785 | 5.0 | 5675 | 0.9390 | 0.8431 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0