AdditiveLLM
Collection
32 items
•
Updated
defect-classification-t5-prompt-05-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: 0.4554
- Accuracy: 0.7884
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: 1024
- eval_batch_size: 1024
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4436 | 1.0 | 39813 | 0.4723 | 0.7720 |
| 0.3903 | 2.0 | 79626 | 0.4674 | 0.7809 |
| 0.4191 | 3.0 | 119439 | 0.4610 | 0.7842 |
| 0.3783 | 4.0 | 159252 | 0.4623 | 0.7833 |
| 0.3979 | 5.0 | 199065 | 0.4554 | 0.7884 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model’s pipeline type.
Model tree for ppak10/defect-classification-t5-prompt-05-epochs
Base model
google-t5/t5-small