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#7
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michaelsh
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- .gitignore +1 -0
- README.md +86 -0
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
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checkpoint-*/
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README.md
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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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<!-- 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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# michaelsh/whisper-tiny-minds-v5-numproc1
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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pytorch_model.bin
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training_args.bin
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