|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- xsum |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: textGeneration_06 |
|
|
results: |
|
|
- task: |
|
|
name: Sequence-to-sequence Language Modeling |
|
|
type: text2text-generation |
|
|
dataset: |
|
|
name: xsum |
|
|
type: xsum |
|
|
config: default |
|
|
split: validation |
|
|
args: default |
|
|
metrics: |
|
|
- name: Rouge1 |
|
|
type: rouge |
|
|
value: 12.1154 |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# textGeneration_06 |
|
|
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.7405 |
|
|
- Rouge1: 12.1154 |
|
|
- Rouge2: 1.7291 |
|
|
- Rougel: 9.4055 |
|
|
- Rougelsum: 11.035 |
|
|
- Gen Len: 937.368 |
|
|
|
|
|
## 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: 16 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:| |
|
|
| 4.2168 | 1.0 | 1250 | 3.8405 | 12.1695 | 1.7457 | 9.3821 | 11.0907 | 896.12 | |
|
|
| 4.1005 | 2.0 | 2500 | 3.7840 | 11.933 | 1.7034 | 9.3269 | 10.8944 | 938.399 | |
|
|
| 4.0678 | 3.0 | 3750 | 3.7579 | 12.0066 | 1.7388 | 9.3301 | 10.9558 | 936.662 | |
|
|
| 4.0411 | 4.0 | 5000 | 3.7445 | 12.0542 | 1.7188 | 9.4032 | 11.0116 | 932.645 | |
|
|
| 4.0359 | 5.0 | 6250 | 3.7405 | 12.1154 | 1.7291 | 9.4055 | 11.035 | 937.368 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.28.1 |
|
|
- Pytorch 2.0.0+cu118 |
|
|
- Datasets 2.11.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
