Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
abdusahmbzuai/arabic_speech_massive_300hrs
Generated from Trainer
Instructions to use abdusah/aradia-ctc-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/aradia-ctc-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdusah/aradia-ctc-v1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("abdusah/aradia-ctc-v1") model = AutoModelForCTC.from_pretrained("abdusah/aradia-ctc-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 14.78, | |
| "eval_loss": 0.717069685459137, | |
| "eval_runtime": 202.6594, | |
| "eval_samples": 4899, | |
| "eval_samples_per_second": 24.174, | |
| "eval_steps_per_second": 0.76, | |
| "eval_wer": 0.333567605557658, | |
| "train_loss": 0.0, | |
| "train_runtime": 70.228, | |
| "train_samples": 14730, | |
| "train_samples_per_second": 4194.91, | |
| "train_steps_per_second": 65.501 | |
| } |