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update model card README.md

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  ---
 
 
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  license: apache-2.0
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  tags:
 
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  - generated_from_trainer
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  datasets:
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- - tamil_asr_corpus
 
 
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  model-index:
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- - name: whisper-tiny-ta
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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-tiny-ta
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the tamil_asr_corpus dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.3096
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- - eval_wer: 30.1027
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- - eval_runtime: 3132.3662
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- - eval_samples_per_second: 3.77
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- - eval_steps_per_second: 0.236
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- - epoch: 0.5
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- - step: 10000
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  ## Model description
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@@ -53,6 +66,22 @@ The following hyperparameters were used during training:
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.26.0.dev0
 
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  ---
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+ language:
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+ - ta
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  license: apache-2.0
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  tags:
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+ - whisper-event
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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  model-index:
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+ - name: Whisper Tiny Ta - Bharat Ramanathan
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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: Common Voice 11.0
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+ type: mozilla-foundation/common_voice_11_0
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 30.102694404742998
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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 Tiny Ta - Bharat Ramanathan
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3096
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+ - Wer: 30.1027
 
 
 
 
 
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  ## Model description
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|
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+ | 0.5622 | 0.2 | 1000 | 0.4460 | 41.4141 |
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+ | 0.4151 | 0.4 | 2000 | 0.3657 | 35.1390 |
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+ | 0.3727 | 0.6 | 3000 | 0.3417 | 33.1723 |
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+ | 0.3519 | 0.8 | 4000 | 0.3252 | 31.9497 |
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+ | 0.3354 | 1.0 | 5000 | 0.3192 | 31.3997 |
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+ | 0.3492 | 0.1 | 6000 | 0.3283 | 31.6966 |
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+ | 0.3229 | 0.2 | 7000 | 0.3211 | 31.1339 |
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+ | 0.3193 | 0.3 | 8000 | 0.3138 | 30.5161 |
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+ | 0.314 | 0.4 | 9000 | 0.3112 | 30.1832 |
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+ | 0.3087 | 0.5 | 10000 | 0.3096 | 30.1027 |
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+
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+
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  ### Framework versions
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  - Transformers 4.26.0.dev0