metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- automatic-speech-recognition
datasets:
- PolyAI/minds14
model-index:
- name: whisper-tiny
results: []
whisper-tiny
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: 0.6624
- Wer: 0.1833
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: 500
Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1+cpu
- Datasets 2.13.1
- Tokenizers 0.13.3