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End of training

Browse files
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_13_0
 
 
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  model-index:
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  - name: Whisper Small Tr - Evren Ozkip
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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
@@ -19,6 +34,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small Tr - Evren Ozkip
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
 
 
 
 
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  ## Model description
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@@ -44,7 +63,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
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- - training_steps: 100
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_13_0
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+ metrics:
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+ - wer
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  model-index:
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  - name: Whisper Small Tr - Evren Ozkip
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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 13
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+ type: mozilla-foundation/common_voice_13_0
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+ config: tr
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+ split: test
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+ args: tr
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 55.714285714285715
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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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  # Whisper Small Tr - Evren Ozkip
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.1107
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+ - Wer Ortho: 55.7143
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+ - Wer: 55.7143
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
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+ - training_steps: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
config.json CHANGED
@@ -52,7 +52,7 @@
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  "num_mel_bins": 80,
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  "scale_embedding": false,
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- "torch_dtype": "float32",
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  "transformers_version": "4.51.3",
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  "use_cache": false,
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  "use_weighted_layer_sum": false,
 
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  "num_mel_bins": 80,
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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+ "torch_dtype": "float16",
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  "transformers_version": "4.51.3",
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  "use_cache": false,
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  "use_weighted_layer_sum": false,
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