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--- |
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library_name: transformers |
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language: |
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- ne |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- openslr/openslr |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium - Kiran Pantha |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: OpenSLR54 |
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type: openslr/openslr |
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config: default |
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split: test |
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args: 'config: ne, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 53.889856134884994 |
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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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# Whisper Medium - Kiran Pantha |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the OpenSLR54 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2728 |
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- Wer: 53.8899 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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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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| 0.6656 | 0.1200 | 500 | 0.6245 | 85.4211 | |
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| 0.4586 | 0.2399 | 1000 | 0.4490 | 73.6369 | |
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| 0.3772 | 0.3599 | 1500 | 0.3930 | 68.5879 | |
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| 0.3437 | 0.4798 | 2000 | 0.3498 | 63.7222 | |
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| 0.3214 | 0.5998 | 2500 | 0.3279 | 61.2297 | |
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| 0.3186 | 0.7198 | 3000 | 0.3095 | 59.3696 | |
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| 0.2965 | 0.8397 | 3500 | 0.2930 | 56.9504 | |
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| 0.2759 | 0.9597 | 4000 | 0.2825 | 56.0249 | |
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| 0.2474 | 1.0797 | 4500 | 0.2758 | 54.5588 | |
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| 0.2195 | 1.1996 | 5000 | 0.2728 | 53.8899 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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