metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: result_2
results: []
result_2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 10.7026
- Accuracy: 0.4058
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.19 | 1.0 | 90 | 0.9620 | 0.1504 |
| 0.1041 | 1.99 | 180 | 0.9744 | 0.0753 |
| 0.0463 | 2.99 | 270 | 0.9972 | 0.0106 |
| 0.0003 | 4.0 | 361 | 0.9965 | 0.0354 |
| 0.0 | 5.0 | 451 | 0.9910 | 0.1336 |
| 0.0 | 5.99 | 541 | 0.9959 | 0.0548 |
| 0.0654 | 6.99 | 631 | 0.9952 | 0.0685 |
| 0.0617 | 8.0 | 722 | 0.9972 | 0.0307 |
| 0.0 | 9.0 | 812 | 0.9959 | 0.0454 |
| 0.0 | 9.99 | 902 | 0.9972 | 0.0382 |
| 0.0 | 10.99 | 992 | 0.9979 | 0.0365 |
| 0.0 | 11.12 | 1001 | 10.7026 | 0.4058 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3