metadata

language:
  - ar
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_4_0
model-index:
  - name: Whisper Small Ai - Monaf solieman
    results: []

Whisper Small Ai - Monaf solieman

This model is a fine-tuned version of openai/whisper-small on the Common Voice 4.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3953
eval_wer: 119.1335
eval_runtime: 1677.2897
eval_samples_per_second: 1.011
eval_steps_per_second: 0.126
epoch: 2.53
step: 600

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0