metadata
library_name: transformers
language:
- ps
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- ihanif/common_voice_ps_20_0
model-index:
- name: Whisper base Ps - ZFA
results: []
Whisper base Ps - ZFA
This model is a fine-tuned version of openai/whisper-base on the Common Voice 20.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6906
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.122 | 0.7418 | 500 | 0.8552 |
| 0.5987 | 1.4837 | 1000 | 0.7422 |
| 0.3821 | 2.2255 | 1500 | 0.7093 |
| 0.1938 | 2.9674 | 2000 | 0.6906 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.7.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.0