metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
datasets:
- ikhlas_recitations
model-index:
- name: wav2vec2-base-960h-surah-ikhlas
results: []
wav2vec2-base-960h-surah-ikhlas
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the ikhlas_recitations dataset. It achieves the following results on the evaluation set:
- Loss: 197.6788
- Cer: 0.9959
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 297.3834 | 1.0 | 169 | 202.6004 | 0.9959 |
| 260.1728 | 2.0 | 338 | 197.6788 | 0.9959 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3