metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: treatastrans_mt5-ha2zh-translation
results: []
treatastrans_mt5-ha2zh-translation
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 15.2208
- Bleu: 0.0
- Ter: 112.1622
- Chrf: 0.0592
- Rougel: 0.0
- Meteor: 0.0
- Bertscore F1: 0.4861
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Ter | Chrf | Rougel | Meteor | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|---|
| 24.1484 | 1.0 | 63 | 17.4027 | 0.0 | 108.7838 | 0.0592 | 0.0 | 0.0 | 0.4856 |
| 24.1484 | 2.0 | 126 | 15.8128 | 0.0 | 109.7973 | 0.0592 | 0.0 | 0.0 | 0.4859 |
| 24.1484 | 3.0 | 189 | 15.2208 | 0.0 | 112.1622 | 0.0592 | 0.0 | 0.0 | 0.4861 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0