|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: google-t5/t5-small |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- sacrebleu |
|
|
- rouge |
|
|
model-index: |
|
|
- name: results |
|
|
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. --> |
|
|
|
|
|
# results |
|
|
|
|
|
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.6732 |
|
|
- Sacrebleu: 67.4689 |
|
|
- Rouge1: 0.8572 |
|
|
- Rouge2: 0.7151 |
|
|
- Rougel: 0.8458 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 32 |
|
|
- eval_batch_size: 128 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Rouge1 | Rouge2 | Rougel | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:------:| |
|
|
| 0.7358 | 1.0 | 15250 | 0.6963 | 67.0067 | 0.8550 | 0.7105 | 0.8436 | |
|
|
| 0.7441 | 2.0 | 30500 | 0.6810 | 67.2301 | 0.8560 | 0.7127 | 0.8446 | |
|
|
| 0.7191 | 3.0 | 45750 | 0.6766 | 67.3703 | 0.8566 | 0.7139 | 0.8452 | |
|
|
| 0.7033 | 4.0 | 61000 | 0.6755 | 67.4235 | 0.8570 | 0.7148 | 0.8457 | |
|
|
| 0.7165 | 5.0 | 76250 | 0.6732 | 67.4689 | 0.8572 | 0.7151 | 0.8458 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.56.0 |
|
|
- Pytorch 2.8.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.22.0 |
|
|
|
