metadata
library_name: transformers
base_model: csebuetnlp/banglabert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: results
results: []
results
This model is a fine-tuned version of csebuetnlp/banglabert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7260
- Accuracy: 0.7417
- F1: 0.7267
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: 2e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9409 | 1.0 | 35 | 0.9145 | 0.6583 | 0.6004 |
| 0.7658 | 2.0 | 70 | 0.7490 | 0.725 | 0.6680 |
| 0.6112 | 3.0 | 105 | 0.6922 | 0.7333 | 0.6772 |
| 0.4237 | 4.0 | 140 | 0.6434 | 0.7583 | 0.7283 |
| 0.327 | 5.0 | 175 | 0.6385 | 0.7667 | 0.7513 |
| 0.2258 | 6.0 | 210 | 0.6861 | 0.7333 | 0.7266 |
| 0.1018 | 7.0 | 245 | 0.7522 | 0.7583 | 0.7327 |
| 0.0794 | 8.0 | 280 | 0.8856 | 0.7667 | 0.7506 |
| 0.0543 | 9.0 | 315 | 0.9427 | 0.7417 | 0.7368 |
| 0.03 | 10.0 | 350 | 0.9346 | 0.75 | 0.7339 |
| 0.0252 | 11.0 | 385 | 1.0011 | 0.7333 | 0.7274 |
| 0.0324 | 12.0 | 420 | 1.0499 | 0.75 | 0.7366 |
| 0.0139 | 13.0 | 455 | 1.0554 | 0.7333 | 0.7173 |
| 0.014 | 14.0 | 490 | 1.0881 | 0.7583 | 0.7492 |
| 0.0131 | 15.0 | 525 | 1.0949 | 0.7583 | 0.7492 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1