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--- |
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language: |
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- te |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- Sonal0205/telugu_asr_recent |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium te - telugu new |
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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: Telugu ASR |
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type: Sonal0205/telugu_asr_recent |
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args: 'config: te, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.513674197384066 |
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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 te - telugu new |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Telugu ASR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0925 |
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- Wer: 23.5137 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 4000 |
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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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| 0.0452 | 1.0582 | 1000 | 0.0992 | 42.1522 | |
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| 0.0148 | 2.1164 | 2000 | 0.0884 | 27.2889 | |
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| 0.0065 | 3.1746 | 3000 | 0.0924 | 24.7919 | |
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| 0.0013 | 4.2328 | 4000 | 0.0925 | 23.5137 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.4.0.dev20240606+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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