metadata
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
- generated_from_trainer
model-index:
- name: fine_tuning_roberta_model
results: []
fine_tuning_roberta_model
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1741
- Rmse: 0.6882
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.5085 | 1.0 | 5 | 0.6268 | 0.7255 |
| 0.2562 | 2.0 | 10 | 0.6686 | 0.7255 |
| 0.1496 | 3.0 | 15 | 0.6989 | 0.5620 |
| 0.0934 | 4.0 | 20 | 1.0044 | 0.6882 |
| 0.1224 | 5.0 | 25 | 1.1798 | 0.7255 |
| 0.0561 | 6.0 | 30 | 1.1906 | 0.6882 |
| 0.0207 | 7.0 | 35 | 1.1774 | 0.6882 |
| 0.0417 | 8.0 | 40 | 1.1551 | 0.6882 |
| 0.0131 | 9.0 | 45 | 1.1628 | 0.6882 |
| 0.0134 | 10.0 | 50 | 1.1741 | 0.6882 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1