|
--- |
|
base_model: samzirbo/mT5.en-es.pretrained |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: mt5.balanced |
|
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. --> |
|
|
|
# mt5.balanced |
|
|
|
This model is a fine-tuned version of [samzirbo/mT5.en-es.pretrained](https://huggingface.co/samzirbo/mT5.en-es.pretrained) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4858 |
|
- Bleu: 39.6397 |
|
- Meteor: 0.6687 |
|
- Chrf++: 61.2886 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 1000 |
|
- training_steps: 30000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf++ | |
|
|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:| |
|
| 4.0381 | 0.5398 | 3000 | 2.0786 | 30.3181 | 0.59 | 53.6607 | |
|
| 2.3046 | 1.0795 | 6000 | 1.8303 | 34.3855 | 0.6263 | 57.2186 | |
|
| 2.0531 | 1.6193 | 9000 | 1.6969 | 36.2615 | 0.643 | 58.7366 | |
|
| 1.9175 | 2.1591 | 12000 | 1.6209 | 37.2847 | 0.6507 | 59.5299 | |
|
| 1.814 | 2.6988 | 15000 | 1.5698 | 38.2556 | 0.6599 | 60.3273 | |
|
| 1.746 | 3.2386 | 18000 | 1.5331 | 38.7361 | 0.6629 | 60.6706 | |
|
| 1.6921 | 3.7783 | 21000 | 1.5058 | 39.1633 | 0.6658 | 60.9563 | |
|
| 1.6484 | 4.3181 | 24000 | 1.4933 | 39.4633 | 0.6677 | 61.1991 | |
|
| 1.6291 | 4.8579 | 27000 | 1.4869 | 39.5943 | 0.6687 | 61.2864 | |
|
| 1.6185 | 5.3976 | 30000 | 1.4858 | 39.6397 | 0.6687 | 61.2886 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
