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End of training

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README.md CHANGED
@@ -1,40 +1,24 @@
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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-medium
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  tags:
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- - hf-asr-leaderboard
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  - generated_from_trainer
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- datasets:
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- - mozilla-foundation/common_voice_16_1
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Medium Ro - Sarbu Vlad
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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 16.1
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- type: mozilla-foundation/common_voice_16_1
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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: 12.451220618930938
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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 Medium Ro - Sarbu Vlad
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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 16.1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1471
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- - Wer: 12.4512
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  ## Model description
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@@ -63,20 +47,24 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 48
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 500
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- - training_steps: 1500
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.3367 | 0.98 | 250 | 0.1873 | 16.5290 |
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- | 0.1131 | 1.96 | 500 | 0.1383 | 13.7792 |
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- | 0.0597 | 2.94 | 750 | 0.1306 | 12.3695 |
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- | 0.0311 | 3.92 | 1000 | 0.1329 | 12.2758 |
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- | 0.0168 | 4.9 | 1250 | 0.1410 | 12.5117 |
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- | 0.0102 | 5.88 | 1500 | 0.1471 | 12.4512 |
 
 
 
 
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  ### Framework versions
 
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-medium
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  tags:
 
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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_medium_ro_VladS_02_16_24_1500_steps_multi_gpu
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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_medium_ro_VladS_02_16_24_1500_steps_multi_gpu
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1719
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+ - Wer: 12.1033
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  ## Model description
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  - total_eval_batch_size: 48
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 250
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+ - training_steps: 2500
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.1563 | 0.98 | 250 | 0.1542 | 14.6716 |
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+ | 0.0933 | 1.96 | 500 | 0.1306 | 13.0714 |
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+ | 0.0428 | 2.94 | 750 | 0.1298 | 11.8886 |
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+ | 0.0243 | 3.92 | 1000 | 0.1353 | 12.0096 |
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+ | 0.0147 | 4.9 | 1250 | 0.1433 | 12.1064 |
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+ | 0.0083 | 5.88 | 1500 | 0.1572 | 12.2606 |
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+ | 0.0052 | 6.86 | 1750 | 0.1591 | 12.3090 |
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+ | 0.0037 | 7.84 | 2000 | 0.1665 | 12.0307 |
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+ | 0.0026 | 8.82 | 2250 | 0.1708 | 12.0549 |
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+ | 0.0021 | 9.8 | 2500 | 0.1719 | 12.1033 |
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  ### Framework versions
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