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: 2.0254
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 |
|---|---|---|---|
| 0.7571 | 0.5 | 500 | 0.7201 |
| 0.7109 | 1.0 | 1000 | 0.7818 |
| 0.6315 | 1.5 | 1500 | 0.6852 |
| 0.6027 | 2.0 | 2000 | 0.6426 |
| 0.4843 | 2.5 | 2500 | 0.7306 |
| 0.4498 | 3.0 | 3000 | 0.6962 |
| 0.3384 | 3.5 | 3500 | 1.0376 |
| 0.3462 | 4.0 | 4000 | 1.1839 |
| 0.2456 | 4.5 | 4500 | 1.2843 |
| 0.2445 | 5.0 | 5000 | 1.3436 |
| 0.1542 | 5.5 | 5500 | 1.5233 |
| 0.1698 | 6.0 | 6000 | 1.5252 |
| 0.1042 | 6.5 | 6500 | 1.4930 |
| 0.11 | 7.0 | 7000 | 1.5485 |
| 0.0646 | 7.5 | 7500 | 1.7473 |
| 0.0711 | 8.0 | 8000 | 1.7637 |
| 0.0456 | 8.5 | 8500 | 1.8249 |
| 0.0379 | 9.0 | 9000 | 1.9362 |
| 0.0305 | 9.5 | 9500 | 2.0290 |
| 0.025 | 10.0 | 10000 | 2.0254 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3