metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: Covid_Vaccine_Sentiment_Analysis_Bert_based_Model
results: []
Covid_Vaccine_Sentiment_Analysis_Bert_based_Model
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1041
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.789 | 0.5 | 500 | 0.7731 |
| 0.7064 | 1.0 | 1000 | 0.6793 |
| 0.6037 | 1.5 | 1500 | 0.6661 |
| 0.5897 | 2.0 | 2000 | 0.6164 |
| 0.4497 | 2.5 | 2500 | 0.8513 |
| 0.4295 | 3.0 | 3000 | 0.6836 |
| 0.3337 | 3.5 | 3500 | 1.1529 |
| 0.3251 | 4.0 | 4000 | 1.1266 |
| 0.2286 | 4.5 | 4500 | 1.3798 |
| 0.2083 | 5.0 | 5000 | 1.3455 |
| 0.1236 | 5.5 | 5500 | 1.6604 |
| 0.1606 | 6.0 | 6000 | 1.5804 |
| 0.0891 | 6.5 | 6500 | 1.7849 |
| 0.0938 | 7.0 | 7000 | 1.8743 |
| 0.0704 | 7.5 | 7500 | 1.8484 |
| 0.0636 | 8.0 | 8000 | 1.9332 |
| 0.0439 | 8.5 | 8500 | 1.9970 |
| 0.0312 | 9.0 | 9000 | 2.0451 |
| 0.0337 | 9.5 | 9500 | 2.1142 |
| 0.0219 | 10.0 | 10000 | 2.1041 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3