metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: tweet_sentiments_analysis_roberta
results: []
tweet_sentiments_analysis_roberta
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6039
- F1-score: 0.7454
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 |
|---|---|---|---|---|
| 0.7293 | 1.0 | 1000 | 0.7054 | 0.6857 |
| 0.6175 | 2.0 | 2000 | 0.6039 | 0.7454 |
| 0.5132 | 3.0 | 3000 | 0.6426 | 0.7662 |
| 0.4113 | 4.0 | 4000 | 0.7244 | 0.7790 |
| 0.3092 | 5.0 | 5000 | 0.9855 | 0.7734 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3