mirodil commited on
Commit
f14d76f
1 Parent(s): f8c817f

trained on CommonVoice13 50%-100%

Browse files
README.md CHANGED
@@ -5,14 +5,12 @@ license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - automatic-speech-recognition
 
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  metrics:
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  - wer
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  model-index:
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  - name: Whisper Small Uzbek
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  results: []
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- datasets:
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- - mozilla-foundation/common_voice_13_0
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- pipeline_tag: automatic-speech-recognition
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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
@@ -22,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6155
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- - Wer Ortho: 54.5846
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- - Wer: 42.7596
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  ## Model description
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@@ -57,7 +55,7 @@ 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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- | 0.7298 | 0.27 | 500 | 0.6155 | 54.5846 | 42.7596 |
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  ### Framework versions
@@ -65,4 +63,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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- - Tokenizers 0.15.0
 
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  base_model: openai/whisper-small
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  tags:
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  - automatic-speech-recognition
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+ - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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  - name: Whisper Small Uzbek
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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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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5058
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+ - Wer Ortho: 45.0514
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+ - Wer: 34.8505
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.4898 | 0.27 | 500 | 0.5058 | 45.0514 | 34.8505 |
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  ### Framework versions
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "openai/whisper-small",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
 
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  {
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
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