metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer2
results: []
test_trainer2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1032
- Accuracy: 0.9767
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 306 | 0.1599 | 0.9558 |
| 0.1259 | 2.0 | 612 | 0.1144 | 0.9779 |
| 0.1259 | 3.0 | 918 | 0.1032 | 0.9767 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.0+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3