language: | |
- en | |
license: afl-3.0 | |
tags: | |
- audio # Example: audio | |
- automatic-speech-recognition # Example: automatic-speech-recognition | |
- speech # Example: speech | |
pipeline_tag: automatic-speech-recognition | |
datasets: | |
- timit_asr # Example: common_voice. Use dataset id from https://hf.co/datasets | |
metrics: | |
- wer | |
# Optional. Add this if you want to encode your eval results in a structured way. | |
model-index: | |
- name: iloko-model | |
results: | |
- task: | |
type: automatic-speech-recognition # Required. Example: automatic-speech-recognition | |
name: Iloko Speech Recognition # Optional. Example: Speech Recognition | |
metrics: | |
- type: wer # Required. Example: wer | |
value: 0.009 # Required. Example: 20.90 | |
name: TEST WETR # Optional. Example: Test WER | |
# args: {arg_0} # Optional. Example for BLEU: max_order | |
FINETUNED ILOKANO SPEECH RECOGNITION FROM WAV2VEC-XLSR-S3 |