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End of training

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README.md CHANGED
@@ -8,9 +8,24 @@ tags:
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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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  model-index:
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  - name: whisper-medium-id
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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
@@ -20,13 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.2727
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- - eval_wer: 12.4703
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- - eval_runtime: 1243.9655
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- - eval_samples_per_second: 2.908
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- - eval_steps_per_second: 0.364
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- - epoch: 7.7220
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- - step: 4000
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  ## Model description
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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
@@ -55,6 +65,17 @@ The following hyperparameters were used during training:
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.44.2
 
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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-medium-id
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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: id
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+ split: test
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+ args: 'config: id, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 13.595981208428299
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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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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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: 0.2226
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+ - Wer: 13.5960
 
 
 
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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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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  - training_steps: 5000
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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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+ | 0.2024 | 1.9305 | 1000 | 0.1830 | 13.1076 |
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+ | 0.109 | 3.8610 | 2000 | 0.1825 | 13.0750 |
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+ | 0.0608 | 5.7915 | 3000 | 0.1949 | 13.2797 |
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+ | 0.0327 | 7.7220 | 4000 | 0.2128 | 13.4750 |
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+ | 0.0258 | 9.6525 | 5000 | 0.2226 | 13.5960 |
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+
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+
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  ### Framework versions
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  - Transformers 4.44.2
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