---
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