Shamik/whisper-tiny-polyAI-minds14
05
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Whisper Tiny finetuned on PolyAI Minds14 English US
This model is a fine-tuned version of openai/whisper-tiny on the Speech Transcription in English from e-banking domain. dataset. It achieves the following results on the evaluation set:
- Loss: 0.8668
- Wer Ortho: 0.4009
- Wer: 0.3823
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
- trainbatchsize: 16
- evalbatchsize: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: constantwithwarmup
- lrschedulerwarmup_steps: 50
- training_steps: 400
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0