metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ASD_Behavour-trainining2
results: []
ASD_Behavour-trainining2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9525
- Accuracy: 0.3636
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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.0667 | 2 | 1.0015 | 0.5556 |
| No log | 1.0667 | 4 | 0.9530 | 0.5556 |
| No log | 2.0667 | 6 | 1.2045 | 0.2222 |
| No log | 3.0667 | 8 | 1.5476 | 0.2593 |
| 0.4992 | 4.0667 | 10 | 1.3886 | 0.2222 |
| 0.4992 | 5.0667 | 12 | 1.1887 | 0.3333 |
| 0.4992 | 6.0667 | 14 | 1.0209 | 0.5185 |
| 0.4992 | 7.0667 | 16 | 0.9728 | 0.7407 |
| 0.4992 | 8.0667 | 18 | 0.9164 | 0.6667 |
| 0.3577 | 9.0667 | 20 | 0.8789 | 0.6667 |
| 0.3577 | 10.0667 | 22 | 0.8177 | 0.6667 |
| 0.3577 | 11.0667 | 24 | 0.8500 | 0.6296 |
| 0.3577 | 12.0667 | 26 | 0.9112 | 0.6296 |
| 0.3577 | 13.0667 | 28 | 0.9497 | 0.6667 |
| 0.1819 | 14.0667 | 30 | 0.9656 | 0.6667 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1