metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-large-v2
datasets:
  - common_voice_16_1
model-index:
  - name: arabic
    results: []

arabic

This model is a fine-tuned version of openai/whisper-large-v2 on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4219
eval_runtime: 240.3412
eval_samples_per_second: 4.993
eval_steps_per_second: 0.312
epoch: 1.0
step: 375

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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.2.dev0
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1