---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fs-w-xavier-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-xavier-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: 0.3811
- Wer: 91.5954
- Cer: 70.8949

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------:|
| 3.9903        | 4.5872  | 500  | 4.0338          | 98.0532  | 78.4954 |
| 1.0456        | 9.1743  | 1000 | 1.2616          | 95.8215  | 77.5850 |
| 0.4233        | 13.7615 | 1500 | 0.6630          | 103.7037 | 79.1309 |
| 0.3371        | 18.3486 | 2000 | 0.5218          | 99.8575  | 75.2576 |
| 0.3005        | 22.9358 | 2500 | 0.4897          | 106.1728 | 83.6225 |
| 0.2556        | 27.5229 | 3000 | 0.4328          | 94.6819  | 73.4799 |
| 0.2132        | 32.1101 | 3500 | 0.4141          | 97.1510  | 74.5964 |
| 0.1848        | 36.6972 | 4000 | 0.3955          | 93.1624  | 71.2384 |
| 0.1635        | 41.2844 | 4500 | 0.3883          | 94.6819  | 72.8358 |
| 0.139         | 45.8716 | 5000 | 0.3811          | 91.5954  | 70.8949 |


### Framework versions

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