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library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: exp_003_base_frozen
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. -->
# exp_003_base_frozen
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1331
- Wer: 35.9827
- Wer Ortho: 38.8106
- Cer: 13.3048
## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho | Cer |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:---------:|:-------:|
| 3.3664 | 0.6410 | 500 | 0.7780 | 70.2985 | 73.1122 | 21.4014 |
| 2.4777 | 1.2821 | 1000 | 0.5469 | 56.7788 | 60.0050 | 17.5319 |
| 2.0633 | 1.9231 | 1500 | 0.4300 | 48.2554 | 51.8306 | 15.0486 |
| 1.6801 | 2.5641 | 2000 | 0.3588 | 44.1239 | 47.6042 | 14.2280 |
| 1.3374 | 3.2051 | 2500 | 0.3044 | 40.7650 | 44.2131 | 13.0829 |
| 1.2080 | 3.8462 | 3000 | 0.2580 | 39.0267 | 42.3347 | 12.9674 |
| 0.9522 | 4.4872 | 3500 | 0.2196 | 37.2339 | 40.5644 | 12.4938 |
| 0.7244 | 5.1282 | 4000 | 0.1886 | 37.2423 | 40.4023 | 13.0369 |
| 0.6902 | 5.7692 | 4500 | 0.1677 | 36.5789 | 39.5254 | 12.6352 |
| 0.5293 | 6.4103 | 5000 | 0.1495 | 36.4404 | 39.1639 | 12.6400 |
| 0.4483 | 7.0513 | 5500 | 0.1331 | 35.9827 | 38.8106 | 13.3048 |
| 0.3833 | 7.6923 | 6000 | 0.1220 | 36.6251 | 39.3841 | 13.2253 |
| 0.2814 | 8.3333 | 6500 | 0.1151 | 36.9526 | 39.7124 | 13.4726 |
| 0.2677 | 8.9744 | 7000 | 0.1067 | 36.5159 | 39.1930 | 14.1547 |
| 0.1995 | 9.6154 | 7500 | 0.1029 | 37.5698 | 40.3358 | 14.3636 |
| 0.1543 | 10.2564 | 8000 | 0.1013 | 37.2969 | 39.9493 | 13.7012 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
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