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: 0.6310
- F1-score: 0.7670
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 |
|---|---|---|---|---|
| 0.7099 | 1.0 | 1000 | 0.6933 | 0.6977 |
| 0.5846 | 2.0 | 2000 | 0.7132 | 0.7635 |
| 0.4867 | 3.0 | 3000 | 0.6310 | 0.7670 |
| 0.3783 | 4.0 | 4000 | 0.9048 | 0.7702 |
| 0.2724 | 5.0 | 5000 | 1.0245 | 0.7727 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3