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

This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0616
- Wer: 134.8528
- Cer: 128.2635

## 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      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
| 5.5657        | 4.5872  | 500  | 5.7291          | 440.3609 | 462.4528 |
| 1.368         | 9.1743  | 1000 | 1.8578          | 127.8727 | 122.6554 |
| 0.5271        | 13.7615 | 1500 | 1.0031          | 101.1871 | 87.2552  |
| 0.3551        | 18.3486 | 2000 | 0.7689          | 107.6448 | 90.9653  |
| 0.2646        | 22.9358 | 2500 | 0.7395          | 197.5309 | 237.3841 |
| 0.1357        | 27.5229 | 3000 | 0.7802          | 124.2165 | 120.3023 |
| 0.0493        | 32.1101 | 3500 | 0.8682          | 150.9497 | 148.3167 |
| 0.0112        | 36.6972 | 4000 | 0.9626          | 140.2659 | 152.1384 |
| 0.001         | 41.2844 | 4500 | 1.0325          | 135.9924 | 125.2662 |
| 0.0004        | 45.8716 | 5000 | 1.0616          | 134.8528 | 128.2635 |


### Framework versions

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