ManasiPandit
commited on
End of training
Browse files- README.md +12 -12
- generation_config.json +1 -1
README.md
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metrics:
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- wer
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model-index:
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- name: whisper-small-finetuned-
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value: 17.
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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-finetuned-
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer Ortho:
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- Wer: 17.
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer:
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 500
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 3.0
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- Tokenizers 0.20.
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metrics:
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- wer
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model-index:
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- name: whisper-small-finetuned-common-voice-mr-2.1
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value: 17.93049766484206
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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-finetuned-common-voice-mr-2.1
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2478
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- Wer Ortho: 44.0374
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- Wer: 17.9305
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 500
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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| 0.1802 | 1.1737 | 500 | 0.2478 | 44.0374 | 17.9305 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.46.2"
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}
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