|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- billsum |
|
model-index: |
|
- name: t5-ft-billsum |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# t5-ft-billsum |
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.2752 |
|
|
|
## 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: 10 |
|
- eval_batch_size: 10 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 99 | 2.6250 | |
|
| No log | 2.0 | 198 | 2.4587 | |
|
| No log | 3.0 | 297 | 2.3865 | |
|
| No log | 4.0 | 396 | 2.3431 | |
|
| No log | 5.0 | 495 | 2.3226 | |
|
| 2.7775 | 6.0 | 594 | 2.3019 | |
|
| 2.7775 | 7.0 | 693 | 2.2882 | |
|
| 2.7775 | 8.0 | 792 | 2.2802 | |
|
| 2.7775 | 9.0 | 891 | 2.2764 | |
|
| 2.7775 | 10.0 | 990 | 2.2752 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0 |
|
- Pytorch 1.6.0 |
|
- Datasets 2.0.0 |
|
- Tokenizers 0.11.6 |
|
|
