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: 2.1070
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 |
|---|---|---|---|
| 0.7469 | 0.5 | 500 | 0.7283 |
| 0.691 | 1.0 | 1000 | 0.6457 |
| 0.5828 | 1.5 | 1500 | 0.6741 |
| 0.5723 | 2.0 | 2000 | 0.6179 |
| 0.4145 | 2.5 | 2500 | 0.8410 |
| 0.4044 | 3.0 | 3000 | 0.7809 |
| 0.2592 | 3.5 | 3500 | 1.1192 |
| 0.2932 | 4.0 | 4000 | 1.2706 |
| 0.162 | 4.5 | 4500 | 1.3559 |
| 0.1846 | 5.0 | 5000 | 1.2930 |
| 0.0975 | 5.5 | 5500 | 1.4937 |
| 0.1228 | 6.0 | 6000 | 1.5674 |
| 0.0718 | 6.5 | 6500 | 1.6709 |
| 0.068 | 7.0 | 7000 | 1.8645 |
| 0.0478 | 7.5 | 7500 | 2.0231 |
| 0.0504 | 8.0 | 8000 | 1.8383 |
| 0.0245 | 8.5 | 8500 | 2.0527 |
| 0.0366 | 9.0 | 9000 | 2.0015 |
| 0.0197 | 9.5 | 9500 | 2.1190 |
| 0.0147 | 10.0 | 10000 | 2.1070 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3