metadata
language:
- fa
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/CostumData_ownmodel
model-index:
- name: Whisper Small CostumData_ownmodel
results: []
Whisper Small CostumData_ownmodel
This model is a fine-tuned version of openai/whisper-small on the CostumData_ownmodel dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6273
- eval_wer: 47.0103
- eval_runtime: 1624.213
- eval_samples_per_second: 1.96
- eval_steps_per_second: 0.245
- epoch: 5.0251
- step: 1000
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: 5000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1