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End of training

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  2. model.safetensors +1 -1
README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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- base_model: giigii91/whisper-tiny_v2.2-ro
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  tags:
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  - generated_from_trainer
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  datasets:
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- - common_voice_11_0
 
 
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  model-index:
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- - name: whisper-tiny_v2.1-ro
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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-tiny_v2.1-ro
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- This model is a fine-tuned version of [giigii91/whisper-tiny_v2.2-ro](https://huggingface.co/giigii91/whisper-tiny_v2.2-ro) on the common_voice_11_0 dataset.
 
 
 
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  ## Model description
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@@ -44,6 +64,17 @@ 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 4.41.2
 
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  ---
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+ language:
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+ - ro
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  license: apache-2.0
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+ base_model: openai/whisper-tiny
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  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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+ metrics:
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+ - wer
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  model-index:
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+ - name: Whisper Tiny RO - Georgescu Dumitru
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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 17.0
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+ type: mozilla-foundation/common_voice_11_0
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+ config: ro
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+ split: None
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+ args: 'config: ro, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 37.72910622036657
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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 Tiny RO - Georgescu Dumitru
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4606
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+ - Wer: 37.7291
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  ## Model description
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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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+ | 11.2437 | 1.7986 | 1000 | 0.4601 | 37.6053 |
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+ | 10.9474 | 3.5971 | 2000 | 0.4602 | 37.0002 |
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+ | 10.736 | 5.3957 | 3000 | 0.4604 | 37.5310 |
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+ | 10.6145 | 7.1942 | 4000 | 0.4605 | 37.7114 |
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+ | 10.5325 | 8.9928 | 5000 | 0.4606 | 37.7291 |
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+
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+
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  ### Framework versions
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  - Transformers 4.41.2
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