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by michaelsh - opened
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  1. .gitignore +1 -0
  2. README.md +86 -0
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - PolyAI/minds14
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: michaelsh/whisper-tiny-minds-v5-numproc1
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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: PolyAI/minds14
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+ type: PolyAI/minds14
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+ config: en-US
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+ split: train
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+ args: en-US
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.36609955891619406
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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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+ # michaelsh/whisper-tiny-minds-v5-numproc1
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6160
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+ - Wer Ortho: 0.3635
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+ - Wer: 0.3661
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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: 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: constant_with_warmup
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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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 Ortho | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 3.1128 | 1.0 | 29 | 1.5110 | 0.8028 | 0.7574 |
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+ | 0.6583 | 2.0 | 58 | 0.5695 | 0.4347 | 0.4316 |
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+ | 0.3271 | 3.0 | 87 | 0.5171 | 0.3945 | 0.3913 |
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+ | 0.2003 | 4.0 | 116 | 0.5165 | 0.3912 | 0.3907 |
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+ | 0.1189 | 5.0 | 145 | 0.5296 | 0.3819 | 0.3825 |
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+ | 0.0623 | 6.0 | 174 | 0.5532 | 0.3747 | 0.3737 |
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+ | 0.0326 | 7.0 | 203 | 0.5614 | 0.3865 | 0.3882 |
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+ | 0.0149 | 8.0 | 232 | 0.6009 | 0.3628 | 0.3655 |
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+ | 0.0093 | 9.0 | 261 | 0.6024 | 0.3707 | 0.3762 |
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+ | 0.0038 | 10.0 | 290 | 0.6160 | 0.3635 | 0.3661 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3
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