|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: byt5-base-es_maq |
|
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. --> |
|
|
|
# byt5-base-es_maq |
|
|
|
This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/google/byt5-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7257 |
|
- Bleu: 0.3979 |
|
- Gen Len: 19.0 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 65 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
|
| No log | 1.0 | 398 | 0.9986 | 0.0463 | 19.0 | |
|
| 1.43 | 2.0 | 796 | 0.8809 | 0.5462 | 19.0 | |
|
| 0.9934 | 3.0 | 1194 | 0.8291 | 0.4119 | 19.0 | |
|
| 0.8998 | 4.0 | 1592 | 0.7965 | 0.4437 | 19.0 | |
|
| 0.8998 | 5.0 | 1990 | 0.7747 | 0.3303 | 19.0 | |
|
| 0.851 | 6.0 | 2388 | 0.7562 | 0.3764 | 19.0 | |
|
| 0.8139 | 7.0 | 2786 | 0.7415 | 0.3244 | 19.0 | |
|
| 0.7865 | 8.0 | 3184 | 0.7341 | 0.4334 | 19.0 | |
|
| 0.7767 | 9.0 | 3582 | 0.7294 | 0.3918 | 19.0 | |
|
| 0.7767 | 10.0 | 3980 | 0.7257 | 0.3979 | 19.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.4 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |
|
|
