File size: 1,743 Bytes
9c01559 68a256d 9c01559 68a256d 9c01559 68a256d 9c01559 68a256d 9c01559 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
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
|