metadata
library_name: transformers
language:
- si
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
datasets:
- SPEAK-ASR/akura-sinhala-dyslexia-corrected
model-index:
- name: SPEAK-ASR/mt5-base-si
results: []
SPEAK-ASR/mt5-base-si
This model is a fine-tuned version of google/mt5-base on the SPEAK-ASR/akura-sinhala-dyslexia-corrected dataset. It achieves the following results on the evaluation set:
- Loss: 0.0735
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9075 | 0.9921 | 500 | 0.6071 |
| 0.3976 | 1.9841 | 1000 | 0.1844 |
| 0.0881 | 2.9762 | 1500 | 0.0740 |
| 0.2419 | 3.9683 | 2000 | 0.0734 |
| 0.1458 | 4.9603 | 2500 | 0.0735 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.2