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-25-epochs
results: []
defect-classification-t5-baseline-25-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: 0.6126
- Accuracy: 0.7147
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5259 | 1.0 | 1062 | 0.6994 | 0.6570 |
| 0.4784 | 2.0 | 2124 | 0.8897 | 0.6228 |
| 0.4087 | 3.0 | 3186 | 0.8306 | 0.6192 |
| 0.4182 | 4.0 | 4248 | 0.7915 | 0.6394 |
| 0.4139 | 5.0 | 5310 | 0.8100 | 0.6246 |
| 0.4019 | 6.0 | 6372 | 0.8091 | 0.6265 |
| 0.3817 | 7.0 | 7434 | 0.8202 | 0.6252 |
| 0.4517 | 8.0 | 8496 | 0.6975 | 0.6919 |
| 0.396 | 9.0 | 9558 | 0.6881 | 0.6883 |
| 0.4033 | 10.0 | 10620 | 0.6977 | 0.6772 |
| 0.3726 | 11.0 | 11682 | 0.6343 | 0.7098 |
| 0.3761 | 12.0 | 12744 | 0.6466 | 0.7064 |
| 0.3706 | 13.0 | 13806 | 0.6233 | 0.7121 |
| 0.4007 | 14.0 | 14868 | 0.7104 | 0.6755 |
| 0.3943 | 15.0 | 15930 | 0.6423 | 0.7053 |
| 0.3791 | 16.0 | 16992 | 0.6676 | 0.6951 |
| 0.3675 | 17.0 | 18054 | 0.6126 | 0.7148 |
| 0.3887 | 18.0 | 19116 | 0.6282 | 0.7097 |
| 0.396 | 19.0 | 20178 | 0.6294 | 0.7115 |
| 0.3779 | 20.0 | 21240 | 0.6272 | 0.7095 |
| 0.363 | 21.0 | 22302 | 0.6299 | 0.7084 |
| 0.3872 | 22.0 | 23364 | 0.6070 | 0.7172 |
| 0.3689 | 23.0 | 24426 | 0.6214 | 0.7125 |
| 0.4059 | 24.0 | 25488 | 0.6184 | 0.7125 |
| 0.3858 | 25.0 | 26550 | 0.6126 | 0.7147 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0