Hugging Face's logo

Abosteet
/
whisper-medium-arabic

Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
Generated from Trainer
Inference Endpoints
Model card Files Community
whisper-medium-arabic / README.md
Abosteet's picture
Abosteet
Update README.md
89d63a0 verified
preview code
|
raw
history blame contribute delete
1.7 kB
metadata
language:
  - ar
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
datasets:
  - arabic_speech_corpus
model-index:
  - name: Whisper Medium Arabic
    results: []
metrics:
  - wer
library_name: transformers
pipeline_tag: automatic-speech-recognition

Visualize in Weights & Biases

Whisper Medium Arabic

This model is a fine-tuned version of openai/whisper-medium on the Arabic Speech Corpus dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0794
  • eval_wer: 5.4226
  • eval_runtime: 200.1714
  • eval_samples_per_second: 0.5
  • eval_steps_per_second: 0.5
  • epoch: 5.7143
  • step: 250

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 400

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1