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---
library_name: transformers
language:
- ps
base_model: ihanif/whisper-base-cv20-v2
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: whisper-base-synth-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-base-synth-v1
This model is a fine-tuned version of [ihanif/whisper-base-cv20-v2](https://huggingface.co/ihanif/whisper-base-cv20-v2) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.4352
- eval_wer_ortho: 816.3428
- eval_wer: 837.2591
- eval_runtime: 1020.837
- eval_samples_per_second: 2.744
- eval_steps_per_second: 0.043
- epoch: 3.1915
- step: 300
## 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: 64
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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