---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fs-w-xavier-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-xavier-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: 0.3748
- Wer: 97.8158
- Cer: 77.1470

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
| 3.6366        | 4.5872  | 500  | 3.6746          | 94.9193  | 77.2587 |
| 0.843         | 9.1743  | 1000 | 1.0679          | 99.8575  | 79.0879 |
| 0.388         | 13.7615 | 1500 | 0.6110          | 102.8965 | 81.0031 |
| 0.3226        | 18.3486 | 2000 | 0.4898          | 104.7958 | 86.9718 |
| 0.2976        | 22.9358 | 2500 | 0.4571          | 113.0579 | 88.8956 |
| 0.2679        | 27.5229 | 3000 | 0.4198          | 103.5613 | 80.5050 |
| 0.2327        | 32.1101 | 3500 | 0.4085          | 103.8462 | 82.1711 |
| 0.2099        | 36.6972 | 4000 | 0.3883          | 101.3295 | 78.2807 |
| 0.1959        | 41.2844 | 4500 | 0.3780          | 100.1425 | 77.5936 |
| 0.1681        | 45.8716 | 5000 | 0.3748          | 97.8158  | 77.1470 |


### Framework versions

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