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eai6
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whisper-tiny-exp.en

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files
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End of training

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Files changed (4) hide show
  1. README.md +68 -0
  2. generation_config.json +149 -0
  3. model.safetensors +1 -1
  4. runs/Mar24_18-17-15_Edwards-MacBook-Pro-2.local/events.out.tfevents.1711318637.Edwards-MacBook-Pro-2.local.97296.0 +2 -2
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny.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-tiny-exp.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-tiny-exp.en
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0687
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+ - Wer: 97.9292
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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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+
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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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+ | 3.8666 | 1.39 | 250 | 1.4867 | 67.3857 |
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+ | 0.9805 | 2.77 | 500 | 0.1304 | 166.9543 |
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+ | 0.3395 | 4.16 | 750 | 0.0789 | 81.0181 |
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+ | 0.1938 | 5.54 | 1000 | 0.0717 | 70.7506 |
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+ | 0.1461 | 6.93 | 1250 | 0.0684 | 91.9758 |
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+ | 0.1212 | 8.31 | 1500 | 0.0687 | 97.9292 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.1
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+ - Pytorch 2.2.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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