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README.md
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---
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library_name: peft
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language:
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- si
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- base_model:adapter:openai/whisper-small
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- lora
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- transformers
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datasets:
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- SPEAK-ASR/openslr-sinhala-asr-preprocessed-1
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- SPEAK-ASR/openslr-sinhala-asr-preprocessed-2
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- SPEAK-ASR/openslr-sinhala-asr-preprocessed-3
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model-index:
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- name: SPEAK-ASR/speak-whisper-small-si-full-dataset
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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/speak-whisper-small-si-full-dataset
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Whisper Small - Sinhala ASR Fine-Tuned dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1504
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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: 0.0001
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- train_batch_size: 64
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| 0.2372 | 0.4322 | 1000 | 0.2510 | 28.1934 |
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| 0.2014 | 0.8643 | 2000 | 0.1958 | 22.7679 |
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| 0.1824 | 1.2965 | 3000 | 0.1746 | 20.6799 |
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| 0.1595 | 1.7286 | 4000 | 0.1651 |
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| 0.1741 | 2.1608 | 5000 | 0.1560 |
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| 0.1744 | 2.5929 | 6000 | 0.1504 |
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### Framework versions
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- PEFT 0.18.1
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.5.0
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- Tokenizers 0.22.2
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 14176064
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version https://git-lfs.github.com/spec/v1
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size 14176064
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