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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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  model-index:
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- - name: whisper-base-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-base-ta
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -41,6 +63,26 @@ 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 Base 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: null
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+ split: None
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 21.72430589381393
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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 Base Ta - Bharat Ramanathan
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) 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: 0.2269
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+ - Wer: 21.7243
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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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+ | 0.5559 | 0.1 | 1000 | 0.3963 | 35.3308 |
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+ | 0.3891 | 0.2 | 2000 | 0.3146 | 29.1511 |
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+ | 0.3425 | 0.3 | 3000 | 0.2834 | 25.5930 |
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+ | 0.3108 | 0.1 | 4000 | 0.2669 | 24.7191 |
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+ | 0.2866 | 0.1 | 5000 | 0.2596 | 25.0936 |
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+ | 0.2697 | 0.2 | 6000 | 0.2507 | 24.5943 |
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+ | 0.2421 | 0.05 | 6500 | 0.2411 | 23.0395 |
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+ | 0.2425 | 0.1 | 7000 | 0.2370 | 23.3804 |
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+ | 0.2404 | 0.15 | 7500 | 0.2333 | 22.7959 |
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+ | 0.2381 | 0.2 | 8000 | 0.2311 | 22.9420 |
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+ | 0.2429 | 0.25 | 8500 | 0.2305 | 22.0166 |
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+ | 0.2402 | 0.3 | 9000 | 0.2284 | 22.1140 |
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+ | 0.2377 | 0.35 | 9500 | 0.2271 | 22.0653 |
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+ | 0.2389 | 0.4 | 10000 | 0.2269 | 21.7243 |
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+
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+
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  ### Framework versions
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  - Transformers 4.26.0.dev0