|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: textSummaryV2_02 |
|
|
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. --> |
|
|
|
|
|
# textSummaryV2_02 |
|
|
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.9944 |
|
|
- Rouge1: 37.5058 |
|
|
- Rouge2: 14.8687 |
|
|
- Rougel: 25.9236 |
|
|
- Rougelsum: 34.378 |
|
|
- Gen Len: 200 |
|
|
|
|
|
## 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 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
|
| No log | 1.0 | 65 | 2.2162 | 37.3174 | 14.2461 | 25.474 | 33.5577 | 200 | |
|
|
| No log | 2.0 | 130 | 2.0640 | 37.5609 | 14.6307 | 25.841 | 34.5967 | 200 | |
|
|
| No log | 3.0 | 195 | 2.0178 | 37.8563 | 15.0376 | 26.1045 | 34.884 | 200 | |
|
|
| No log | 4.0 | 260 | 2.0003 | 37.5972 | 14.7923 | 26.0761 | 34.5751 | 200 | |
|
|
| No log | 5.0 | 325 | 1.9944 | 37.5058 | 14.8687 | 25.9236 | 34.378 | 200 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.27.4 |
|
|
- Pytorch 1.13.1+cu116 |
|
|
- Tokenizers 0.13.2 |
|
|
|
