Automatic Speech Recognition
Transformers
Safetensors
Saisiyat
wav2vec2
formosanbank
formosan
endangered-languages
speech
asr
xlsr53
tacl
Instructions to use FormosanBank/formosan-asr-saisiyat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-saisiyat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-saisiyat")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-saisiyat") model = AutoModelForCTC.from_pretrained("FormosanBank/formosan-asr-saisiyat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_dev_loss": 0.4840303489675858, | |
| "best_selection_cer": 0.09279681756460974, | |
| "best_selection_metrics": { | |
| "dev_cells": 5, | |
| "dev_languages": 1, | |
| "dev_rows": 1190, | |
| "macro_cell_cer": 0.09279681756460974, | |
| "macro_cell_wer": 0.2676440207226045, | |
| "macro_language_cer": 0.07790196078431373, | |
| "macro_language_wer": 0.23627118644067796, | |
| "micro_cer": 0.07790196078431373, | |
| "micro_wer": 0.23627118644067796, | |
| "selection_cer": 0.09279681756460974, | |
| "selection_metric": "decoded_dev_normalized_cer", | |
| "selection_scope": "macro_cell", | |
| "selection_wer": 0.2676440207226045 | |
| }, | |
| "best_selection_wer": 0.2676440207226045, | |
| "best_step": 14210, | |
| "checkpoint_path": "/scratch/scheppat/projects/tacl_formosan_asr/runs_xlsr_final_v2/xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13/best_model", | |
| "end_train_loss": 0.033548079431056976, | |
| "generated_at": "2026-06-23T08:17:48+00:00", | |
| "max_steps": 1000, | |
| "out_dir": "/scratch/scheppat/projects/tacl_formosan_asr/runs_xlsr_final_v2/xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "prediction_rows": 1189, | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "start_train_loss": 21.27985954284668, | |
| "steps": 35524, | |
| "train_epochs": 30.0 | |
| } | |