---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fs-w-he-base
  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. -->

# fs-w-he-base

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: 1.1453
- Wer: 110.8262
- Cer: 93.0350

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
| 7.2383        | 4.5872  | 500  | 7.6104          | 178.9174 | 140.9825 |
| 1.348         | 9.1743  | 1000 | 2.0785          | 113.0579 | 96.7795  |
| 0.4859        | 13.7615 | 1500 | 1.1437          | 132.2412 | 113.7066 |
| 0.2809        | 18.3486 | 2000 | 0.9320          | 156.9801 | 142.7087 |
| 0.1568        | 22.9358 | 2500 | 0.9841          | 124.2640 | 115.1666 |
| 0.041         | 27.5229 | 3000 | 1.0475          | 130.6743 | 110.1941 |
| 0.0091        | 32.1101 | 3500 | 1.0947          | 124.5014 | 103.2205 |
| 0.0016        | 36.6972 | 4000 | 1.1475          | 137.9392 | 119.5981 |
| 0.0001        | 41.2844 | 4500 | 1.1431          | 124.0741 | 103.3494 |
| 0.0001        | 45.8716 | 5000 | 1.1453          | 110.8262 | 93.0350  |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0