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monadical-labs
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whisper-medium.en

Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Inference Endpoints
Model card Files Community
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End of training

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Files changed (3) hide show
  1. README.md +67 -0
  2. generation_config.json +189 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: openai/whisper-medium.en
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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.en
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+ results: []
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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.en
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+
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+ This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6366
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+ - Wer: 0.3366
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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: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use 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: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - training_steps: 5
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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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+ | 2.6808 | 1.0 | 1 | 2.6366 | 0.3366 |
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+ | 2.6808 | 2.0 | 2 | 2.6366 | 0.3366 |
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+ | 2.6808 | 3.0 | 3 | 2.6366 | 0.3366 |
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+ | 2.6808 | 4.0 | 4 | 2.6366 | 0.3366 |
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+ | 2.6808 | 5.0 | 5 | 2.6366 | 0.3366 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.2
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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