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-20-epochs
results: []
defect-classification-t5-baseline-20-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: 0.4748
- Accuracy: 0.7776
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5451 | 1.0 | 1062 | 0.8419 | 0.6840 |
| 0.4981 | 2.0 | 2124 | 0.6668 | 0.6973 |
| 0.4465 | 3.0 | 3186 | 0.5410 | 0.7736 |
| 0.4091 | 4.0 | 4248 | 0.4561 | 0.8153 |
| 0.3967 | 5.0 | 5310 | 0.4574 | 0.8106 |
| 0.4033 | 6.0 | 6372 | 0.4654 | 0.8002 |
| 0.3887 | 7.0 | 7434 | 0.4576 | 0.7978 |
| 0.4674 | 8.0 | 8496 | 0.4824 | 0.7910 |
| 0.3977 | 9.0 | 9558 | 0.4450 | 0.8007 |
| 0.4191 | 10.0 | 10620 | 0.4415 | 0.7992 |
| 0.3749 | 11.0 | 11682 | 0.4439 | 0.7946 |
| 0.3741 | 12.0 | 12744 | 0.4987 | 0.7725 |
| 0.3772 | 13.0 | 13806 | 0.4445 | 0.8008 |
| 0.398 | 14.0 | 14868 | 0.4641 | 0.7800 |
| 0.3939 | 15.0 | 15930 | 0.4601 | 0.7856 |
| 0.3777 | 16.0 | 16992 | 0.4587 | 0.7869 |
| 0.3705 | 17.0 | 18054 | 0.4627 | 0.7835 |
| 0.3856 | 18.0 | 19116 | 0.4707 | 0.7791 |
| 0.3982 | 19.0 | 20178 | 0.4829 | 0.7758 |
| 0.3811 | 20.0 | 21240 | 0.4748 | 0.7776 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0