metadata
base_model: roberta-base
license: mit
metrics:
- f1
tags:
- generated_from_trainer
model-index:
- name: Monglish_chatbot
results: []
Monglish_chatbot
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4413
- F1: 0.9286
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 2.6862 | 1.0 | 14 | 2.7000 | 0.0 |
| 2.7247 | 2.0 | 28 | 2.6786 | 0.0 |
| 2.7909 | 3.0 | 42 | 2.6144 | 0.3571 |
| 2.7791 | 4.0 | 56 | 2.3593 | 0.4286 |
| 2.0472 | 5.0 | 70 | 1.9184 | 0.5714 |
| 1.9152 | 6.0 | 84 | 1.6711 | 0.6429 |
| 1.096 | 7.0 | 98 | 1.4660 | 0.7143 |
| 0.9427 | 8.0 | 112 | 1.2447 | 0.7143 |
| 1.019 | 9.0 | 126 | 1.1048 | 0.7857 |
| 0.7788 | 10.0 | 140 | 0.9651 | 0.8571 |
| 0.6109 | 11.0 | 154 | 0.8429 | 0.9286 |
| 0.6004 | 12.0 | 168 | 0.7675 | 0.8571 |
| 0.3126 | 13.0 | 182 | 0.6817 | 0.9286 |
| 0.2096 | 14.0 | 196 | 0.6414 | 0.9286 |
| 0.3601 | 15.0 | 210 | 0.6030 | 0.9286 |
| 0.3269 | 16.0 | 224 | 0.5345 | 0.9286 |
| 0.2457 | 17.0 | 238 | 0.5132 | 0.9286 |
| 0.1686 | 18.0 | 252 | 0.4870 | 0.9286 |
| 0.0845 | 19.0 | 266 | 0.4625 | 0.9286 |
| 0.1983 | 20.0 | 280 | 0.4521 | 0.9286 |
| 0.0878 | 21.0 | 294 | 0.4449 | 0.9286 |
| 0.1363 | 22.0 | 308 | 0.4533 | 0.9286 |
| 0.1675 | 23.0 | 322 | 0.4502 | 0.9286 |
| 0.1459 | 24.0 | 336 | 0.4437 | 0.9286 |
| 0.1118 | 25.0 | 350 | 0.4413 | 0.9286 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1