---
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: 0.3940
- Wer: 97.2460
- Cer: 75.7386

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
| 3.7367        | 4.5872  | 500  | 3.7672          | 106.7426 | 75.6699 |
| 0.9212        | 9.1743  | 1000 | 1.1453          | 112.3457 | 89.8145 |
| 0.4126        | 13.7615 | 1500 | 0.6488          | 104.0361 | 81.1491 |
| 0.3365        | 18.3486 | 2000 | 0.5043          | 106.0304 | 81.9048 |
| 0.304         | 22.9358 | 2500 | 0.4632          | 109.7341 | 85.4174 |
| 0.2752        | 27.5229 | 3000 | 0.4296          | 103.2764 | 79.6633 |
| 0.2388        | 32.1101 | 3500 | 0.4201          | 101.7569 | 78.3494 |
| 0.218         | 36.6972 | 4000 | 0.4022          | 98.6705  | 76.3140 |
| 0.1995        | 41.2844 | 4500 | 0.3983          | 98.4330  | 76.5201 |
| 0.1743        | 45.8716 | 5000 | 0.3940          | 97.2460  | 75.7386 |


### Framework versions

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