End of training

README.md

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+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# SPEAK-ASR/mt5-base-si
+
+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.
+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

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