gigant/whisper-tiny-minds14-audio-course

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.0453 MBother✓ 5 checksumsupdated today

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whisper-tiny-minds14-audio-course

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 0.5309
Wer Ortho: 0.3516
Wer: 0.3418

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
No log	0.04	1	0.5307	0.3677	0.3571
No log	0.07	2	0.5308	0.3677	0.3571
No log	0.11	3	0.5309	0.3516	0.3418

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3