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--- |
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language: |
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- hi |
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license: apache-2.0 |
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base_model: CKSINGH/whisper-small-hi-graminVoice |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper small Hi - CKS 2511 finalbatch |
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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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# Whisper small Hi - CKS 2511 finalbatch |
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This model is a fine-tuned version of [CKSINGH/whisper-small-hi-graminVoice](https://huggingface.co/CKSINGH/whisper-small-hi-graminVoice) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5777 |
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- Wer: 33.1148 |
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- Cer: 14.1232 |
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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: 1.75e-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: 2000 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.1067 | 6.94 | 500 | 0.4508 | 36.7213 | 17.2021 | |
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| 0.0083 | 13.89 | 1000 | 0.5445 | 35.4098 | 15.9973 | |
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| 0.001 | 20.83 | 1500 | 0.5720 | 34.7541 | 14.9264 | |
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| 0.0001 | 27.78 | 2000 | 0.5777 | 33.1148 | 14.1232 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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