metadata
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bertweetB_7epoch
results: []
bertweetB_7epoch
This model is a fine-tuned version of vinai/bertweet-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1245
- Accuracy: 0.8071
- Precision: 0.2234
- Recall: 0.2177
- F1: 0.2203
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 217 | 0.1314 | 0.8571 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 434 | 0.1300 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1928 | 3.0 | 651 | 0.1282 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1928 | 4.0 | 868 | 0.1279 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1562 | 5.0 | 1085 | 0.1223 | 0.8564 | 0.2214 | 0.0037 | 0.0073 |
| 0.1562 | 6.0 | 1302 | 0.1238 | 0.815 | 0.2153 | 0.1734 | 0.1921 |
| 0.1262 | 7.0 | 1519 | 0.1245 | 0.8071 | 0.2234 | 0.2177 | 0.2203 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1