metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: defect-classification-t5-baseline-10-epochs
results: []
defect-classification-t5-baseline-10-epochs
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6128
- Accuracy: 0.7144
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: 0.0001
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5486 | 1.0 | 1062 | 0.7053 | 0.6669 |
| 0.4797 | 2.0 | 2124 | 0.7561 | 0.6508 |
| 0.4215 | 3.0 | 3186 | 0.6966 | 0.6750 |
| 0.4102 | 4.0 | 4248 | 0.6483 | 0.6922 |
| 0.4201 | 5.0 | 5310 | 0.6224 | 0.7089 |
| 0.398 | 6.0 | 6372 | 0.5991 | 0.7193 |
| 0.3854 | 7.0 | 7434 | 0.5947 | 0.7228 |
| 0.4514 | 8.0 | 8496 | 0.6177 | 0.7142 |
| 0.4081 | 9.0 | 9558 | 0.5971 | 0.7218 |
| 0.4125 | 10.0 | 10620 | 0.6128 | 0.7144 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0