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--- |
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library_name: transformers |
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language: |
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- si |
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license: apache-2.0 |
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base_model: google/mt5-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- SPEAK-ASR/akura-sinhala-dyslexia-corrected |
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model-index: |
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- name: SPEAK-ASR/mt5-base-si |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SPEAK-ASR/mt5-base-si |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the SPEAK-ASR/akura-sinhala-dyslexia-corrected dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0735 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9075 | 0.9921 | 500 | 0.6071 | |
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| 0.3976 | 1.9841 | 1000 | 0.1844 | |
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| 0.0881 | 2.9762 | 1500 | 0.0740 | |
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| 0.2419 | 3.9683 | 2000 | 0.0734 | |
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| 0.1458 | 4.9603 | 2500 | 0.0735 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.4.2 |
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- Tokenizers 0.22.2 |
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