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End of training

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  1. README.md +81 -0
  2. generation_config.json +240 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - aeb
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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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+ datasets:
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+ - AT_ENT
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper medium AT
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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: AT_ENT
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+ type: AT_ENT
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+ args: 'config: aeb, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 65.0551907223697
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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 medium AT
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the AT_ENT dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0424
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+ - Wer: 65.0552
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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-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 16
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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: 500
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+ - num_epochs: 4
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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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+ | No log | 1.0 | 111 | 1.9877 | 101.4531 |
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+ | No log | 2.0 | 222 | 1.2820 | 78.5385 |
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+ | No log | 3.0 | 333 | 1.0692 | 68.3666 |
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+ | No log | 4.0 | 444 | 1.0424 | 65.0552 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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