| --- |
| license: apache-2.0 |
| base_model: t5-large |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: purpose_extractor |
| results: [] |
| --- |
| This model extracts purpose from intent. |
|
|
| # purpose_extractor |
| |
| This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0203 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.1179 | 1.0 | 109 | 0.6176 | |
| | 0.09 | 2.0 | 218 | 0.1340 | |
| | 0.0982 | 3.0 | 327 | 0.0781 | |
| | 0.0015 | 4.0 | 436 | 0.0522 | |
| | 0.3695 | 5.0 | 545 | 0.0406 | |
| | 0.0051 | 6.0 | 654 | 0.0310 | |
| | 0.0294 | 7.0 | 763 | 0.0251 | |
| | 0.0027 | 8.0 | 872 | 0.0228 | |
| | 0.015 | 9.0 | 981 | 0.0209 | |
| | 0.0303 | 10.0 | 1090 | 0.0203 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.1 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
