|
--- |
|
license: mit |
|
base_model: flax-community/spanish-t5-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: augmented_t5_pictos |
|
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. --> |
|
|
|
# augmented_t5_pictos |
|
|
|
This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3716 |
|
- Rouge1: 44.6732 |
|
- Rouge2: 29.5427 |
|
- Rougel: 44.3407 |
|
- Rougelsum: 44.3626 |
|
- Gen Len: 8.2906 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 2.1475 | 1.0 | 527 | 1.7342 | 37.3065 | 21.7821 | 36.9349 | 36.853 | 8.2799 | |
|
| 1.6495 | 2.0 | 1054 | 1.5130 | 42.3167 | 26.6311 | 41.9494 | 41.8617 | 8.1496 | |
|
| 1.445 | 3.0 | 1581 | 1.4049 | 43.5614 | 28.5147 | 43.2416 | 43.2528 | 8.2585 | |
|
| 1.2756 | 4.0 | 2108 | 1.3716 | 44.6732 | 29.5427 | 44.3407 | 44.3626 | 8.2906 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|