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whisper-small-en

Automatic Speech Recognition
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PyTorch
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whisper
Generated from Trainer
Eval Results
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - librispeech_asr
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-small-en
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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: librispeech_asr
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+ type: librispeech_asr
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+ config: clean
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+ split: test
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+ args: clean
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 124.51154529307283
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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-small-en
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech_asr dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.7832
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+ - Wer: 124.5115
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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: 0.0005
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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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - training_steps: 100
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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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+ | 9.6259 | 1.57 | 5 | 10.7408 | 1127.3535 |
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+ | 11.5288 | 3.29 | 10 | 9.2534 | 100.0 |
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+ | 10.9249 | 4.86 | 15 | 7.8357 | 100.0 |
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+ | 7.0442 | 6.57 | 20 | 6.9971 | 595.3819 |
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+ | 8.6762 | 8.29 | 25 | 5.6135 | 312.2558 |
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+ | 5.4239 | 9.86 | 30 | 5.4885 | 97.1581 |
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+ | 4.986 | 11.57 | 35 | 5.2888 | 628.7744 |
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+ | 6.708 | 13.29 | 40 | 4.9665 | 277.6199 |
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+ | 3.9096 | 14.86 | 45 | 5.0861 | 631.9716 |
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+ | 3.2326 | 16.57 | 50 | 5.0090 | 279.7513 |
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+ | 3.9691 | 18.29 | 55 | 5.0804 | 133.2149 |
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+ | 1.8661 | 19.86 | 60 | 5.4423 | 317.5844 |
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+ | 1.1588 | 21.57 | 65 | 5.7955 | 119.5382 |
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+ | 1.0355 | 23.29 | 70 | 6.0458 | 190.2309 |
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+ | 0.3455 | 24.86 | 75 | 6.3057 | 106.7496 |
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+ | 0.142 | 26.57 | 80 | 6.5767 | 209.9467 |
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+ | 0.1722 | 28.29 | 85 | 6.5937 | 101.4210 |
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+ | 0.0816 | 29.86 | 90 | 6.7679 | 149.7336 |
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+ | 0.079 | 31.57 | 95 | 6.8008 | 133.5702 |
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+ | 0.1007 | 33.29 | 100 | 6.7832 | 124.5115 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.7.1
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+ - Tokenizers 0.13.2