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jlvdoorn
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whisper-medium.en-atcosim

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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Commit
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Files changed (4) hide show
  1. README.md +72 -0
  2. generation_config.json +188 -0
  3. pytorch_model.bin +1 -1
  4. runs/Jan15_16-43-06_gpu019/events.out.tfevents.1705333387.gpu019 +2 -2
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+ ---
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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-atcosim
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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-atcosim
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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: 0.0542
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+ - Wer: 1.4169
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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: 128
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+ - eval_batch_size: 128
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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: 10
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+ - num_epochs: 100
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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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+ | 0.2006 | 8.33 | 500 | 0.0410 | 1.2456 |
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+ | 0.0003 | 16.67 | 1000 | 0.0443 | 1.2224 |
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+ | 0.0001 | 25.0 | 1500 | 0.0473 | 1.1854 |
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+ | 0.0 | 33.33 | 2000 | 0.0489 | 1.2039 |
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+ | 0.0 | 41.67 | 2500 | 0.0501 | 1.2224 |
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+ | 0.0 | 50.0 | 3000 | 0.0511 | 1.2873 |
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+ | 0.0 | 58.33 | 3500 | 0.0520 | 1.3012 |
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+ | 0.0 | 66.67 | 4000 | 0.0527 | 1.3197 |
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+ | 0.0 | 75.0 | 4500 | 0.0533 | 1.3891 |
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+ | 0.0 | 83.33 | 5000 | 0.0537 | 1.4077 |
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+ | 0.0 | 91.67 | 5500 | 0.0541 | 1.4169 |
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+ | 0.0 | 100.0 | 6000 | 0.0542 | 1.4169 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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