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rambaldi47
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whisper-tiny

Automatic Speech Recognition
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End of training

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Files changed (3) hide show
  1. README.md +17 -11
  2. model.safetensors +1 -1
  3. runs/Feb04_21-29-16_MSI/events.out.tfevents.1707082161.MSI +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.6605667060212514
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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
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7343
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- - Wer Ortho: 0.6730
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- - Wer: 0.6606
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  ## Model description
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@@ -53,7 +53,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -67,12 +67,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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- | 0.4699 | 3.57 | 100 | 0.6164 | 0.4695 | 0.4067 |
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- | 0.1623 | 7.14 | 200 | 0.5796 | 0.4275 | 0.3796 |
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- | 0.0399 | 10.71 | 300 | 0.6172 | 0.4528 | 0.4168 |
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- | 0.0082 | 14.29 | 400 | 0.6808 | 0.5262 | 0.5083 |
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- | 0.0027 | 17.86 | 500 | 0.7123 | 0.6422 | 0.6275 |
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- | 0.0016 | 21.43 | 600 | 0.7343 | 0.6730 | 0.6606 |
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.40436835891381345
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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-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5951
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+ - Wer Ortho: 0.4781
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+ - Wer: 0.4044
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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: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 2.605 | 1.79 | 50 | 2.3450 | 0.5355 | 0.3967 |
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+ | 1.67 | 3.57 | 100 | 1.4800 | 0.5355 | 0.4126 |
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+ | 0.8205 | 5.36 | 150 | 0.8745 | 0.5836 | 0.4787 |
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+ | 0.5984 | 7.14 | 200 | 0.7396 | 0.4923 | 0.4079 |
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+ | 0.4993 | 8.93 | 250 | 0.6831 | 0.4769 | 0.3996 |
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+ | 0.4134 | 10.71 | 300 | 0.6510 | 0.4830 | 0.4032 |
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+ | 0.384 | 12.5 | 350 | 0.6307 | 0.4738 | 0.3961 |
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+ | 0.3286 | 14.29 | 400 | 0.6162 | 0.4806 | 0.4050 |
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+ | 0.3188 | 16.07 | 450 | 0.6062 | 0.4800 | 0.4050 |
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+ | 0.2751 | 17.86 | 500 | 0.6010 | 0.4843 | 0.4097 |
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+ | 0.2568 | 19.64 | 550 | 0.5970 | 0.4750 | 0.4026 |
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+ | 0.237 | 21.43 | 600 | 0.5951 | 0.4781 | 0.4044 |
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  ### Framework versions
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