metadata
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: mt5-small-ainu
results: []
mt5-small-ainu
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8639
- Bleu: 19.8267
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.4842 | 1.0 | 4670 | 2.1813 | 8.3904 |
| 2.0771 | 2.0 | 9340 | 1.9269 | 5.7433 |
| 1.8222 | 3.0 | 14010 | 1.8170 | 12.8222 |
| 1.6758 | 4.0 | 18680 | 1.7569 | 14.3024 |
| 1.5447 | 5.0 | 23350 | 1.7277 | 12.3842 |
| 1.4545 | 6.0 | 28020 | 1.7188 | 14.1082 |
| 1.3417 | 7.0 | 32690 | 1.7104 | 16.6177 |
| 1.2347 | 8.0 | 37360 | 1.7262 | 17.4827 |
| 1.1565 | 9.0 | 42030 | 1.7268 | 17.7124 |
| 1.081 | 10.0 | 46700 | 1.7581 | 18.6729 |
| 1.02 | 11.0 | 51370 | 1.7768 | 20.2419 |
| 0.9513 | 12.0 | 56040 | 1.8162 | 20.0469 |
| 0.8934 | 13.0 | 60710 | 1.8370 | 19.7150 |
| 0.8343 | 14.0 | 65380 | 1.8639 | 19.8267 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1