|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: t5-small-finetuned-xsum_epoch4 |
|
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-small-finetuned-xsum_epoch4 |
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.4245 |
|
- Rouge1: 29.5204 |
|
- Rouge2: 8.4931 |
|
- Rougel: 22.9705 |
|
- Rougelsum: 23.0872 |
|
- Gen Len: 18.8221 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
|
| 2.7175 | 1.0 | 7620 | 2.4899 | 28.585 | 7.7626 | 22.1314 | 22.2424 | 18.8174 | |
|
| 2.6605 | 2.0 | 15240 | 2.4486 | 29.2362 | 8.2481 | 22.7049 | 22.8227 | 18.8273 | |
|
| 2.6368 | 3.0 | 22860 | 2.4303 | 29.4228 | 8.4312 | 22.8991 | 23.0192 | 18.8262 | |
|
| 2.6284 | 4.0 | 30480 | 2.4245 | 29.5204 | 8.4931 | 22.9705 | 23.0872 | 18.8221 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.11.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.12.1 |
|
|
