metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: Covid_Vaccine_Sentiment_Analysis_Roberta_Model
results: []
Covid_Vaccine_Sentiment_Analysis_Roberta_Model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7021
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 |
|---|---|---|---|
| 0.7933 | 0.5 | 500 | 0.7141 |
| 0.7869 | 1.0 | 1000 | 0.7627 |
| 0.7325 | 1.5 | 1500 | 0.6917 |
| 0.7292 | 2.0 | 2000 | 0.6866 |
| 0.6861 | 2.5 | 2500 | 0.7174 |
| 0.68 | 3.0 | 3000 | 0.6940 |
| 0.622 | 3.5 | 3500 | 0.6869 |
| 0.6278 | 4.0 | 4000 | 0.7009 |
| 0.5631 | 4.5 | 4500 | 0.7326 |
| 0.5589 | 5.0 | 5000 | 0.7021 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3