metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: student_s3d_default_not_learning_RWF2000
results: []
student_s3d_default_not_learning_RWF2000
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3789
- Accuracy: 0.885
- F1: 0.8847
- Precision: 0.8893
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: 1e-05
- train_batch_size: 75
- eval_batch_size: 75
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 47
- training_steps: 475
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.6345 | 2.0147 | 47 | 0.5707 | 0.7656 | 0.7621 | 0.7824 |
| 0.4332 | 4.0295 | 94 | 0.3666 | 0.8219 | 0.8218 | 0.8222 |
| 0.3306 | 7.0021 | 141 | 0.4903 | 0.825 | 0.8246 | 0.8283 |
| 0.2447 | 9.0168 | 188 | 0.3415 | 0.8375 | 0.8361 | 0.8498 |
| 0.1972 | 11.0316 | 235 | 0.4171 | 0.8375 | 0.8359 | 0.8516 |
| 0.173 | 14.0042 | 282 | 0.3911 | 0.8656 | 0.8650 | 0.8720 |
| 0.1481 | 16.0189 | 329 | 0.4326 | 0.8719 | 0.8714 | 0.8772 |
| 0.1165 | 18.0337 | 376 | 0.2364 | 0.8812 | 0.8811 | 0.8834 |
| 0.098 | 21.0063 | 423 | 0.5760 | 0.8844 | 0.8843 | 0.8856 |
| 0.0857 | 23.0211 | 470 | 0.5217 | 0.8812 | 0.8811 | 0.8827 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0