|
|
--- |
|
|
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 |
|
|
|
