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  1. README.md +80 -0
  2. all_results.json +14 -0
  3. checkpoint-1000/config.json +51 -0
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  5. checkpoint-1000/model-00001-of-00002.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-large-v3
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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_16_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-large-v3-pt-cv16-cuda
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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: mozilla-foundation/common_voice_16_0 pt
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+ type: mozilla-foundation/common_voice_16_0
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+ split: None
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+ args: pt
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.9998545572074984
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+ ---
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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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+
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+ # whisper-large-v3-pt-cv16-cuda
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the mozilla-foundation/common_voice_16_0 pt dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1325
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+ - Wer: 0.9999
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 2000
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+ - training_steps: 5000
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+ - mixed_precision_training: Native AMP
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+
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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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+ | 0.199 | 0.26 | 1000 | 0.1563 | 0.1124 |
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+ | 0.1654 | 0.52 | 2000 | 0.1500 | 0.1052 |
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+ | 0.1794 | 0.77 | 3000 | 0.1379 | 0.0997 |
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+ | 0.0821 | 1.03 | 4000 | 0.1321 | 1.0007 |
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+ | 0.1292 | 1.29 | 5000 | 0.1325 | 0.9999 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.2.0.dev20231212
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+ - Datasets 2.15.1.dev0
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+ - Tokenizers 0.15.0
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+ "train_samples_per_second": 0.034,
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+ "train_steps_per_second": 0.004
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+ }
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