File size: 1,628 Bytes
5260fd3 30fc055 5260fd3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
license: mit
base_model: flax-community/spanish-t5-small
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spanish-t5-small-neutralization
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. -->
# spanish-t5-small-neutralization
This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co./flax-community/spanish-t5-small) on [hackathon-pln-es/neutral-es dataset](https://huggingface.co./datasets/hackathon-pln-es/neutral-es).
It achieves the following results on the evaluation set:
- Loss: 0.1364
- Bleu: 85.9727
- Gen Len: 14.6667
## 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: 5.6e-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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log | 1.0 | 440 | 0.1866 | 84.2055 | 14.7604 |
| 0.3 | 2.0 | 880 | 0.1364 | 85.9727 | 14.6667 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
|