metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Finetuned-mT5-Bangla2IPA
results: []
Finetuned-mT5-Bangla2IPA
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: 0.0529
- Wer: 0.0530
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.407 | 0.75 | 2000 | 1.4085 | 0.9726 |
| 0.9875 | 1.5 | 4000 | 0.2242 | 0.2198 |
| 0.3856 | 2.25 | 6000 | 0.1268 | 0.1266 |
| 0.2443 | 2.99 | 8000 | 0.0929 | 0.0958 |
| 0.1753 | 3.74 | 10000 | 0.0798 | 0.0827 |
| 0.1431 | 4.49 | 12000 | 0.0701 | 0.0731 |
| 0.121 | 5.24 | 14000 | 0.0649 | 0.0665 |
| 0.1046 | 5.99 | 16000 | 0.0614 | 0.0625 |
| 0.0914 | 6.74 | 18000 | 0.0585 | 0.0588 |
| 0.0821 | 7.49 | 20000 | 0.0556 | 0.0564 |
| 0.0747 | 8.23 | 22000 | 0.0554 | 0.0548 |
| 0.0707 | 8.98 | 24000 | 0.0535 | 0.0540 |
| 0.0646 | 9.73 | 26000 | 0.0529 | 0.0530 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3