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

# xwhisper-kh-base

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2711
- Wer: 74.0769

## 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: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8338        | 1.0   | 1087 | 0.4122          | 90.5307 |
| 0.3136        | 2.0   | 2174 | 0.3022          | 80.1699 |
| 0.2199        | 3.0   | 3261 | 0.2599          | 76.6601 |
| 0.1675        | 4.0   | 4348 | 0.2483          | 74.3577 |
| 0.1294        | 5.0   | 5435 | 0.2483          | 72.6309 |
| 0.1001        | 6.0   | 6522 | 0.2555          | 74.8982 |
| 0.0759        | 7.0   | 7609 | 0.2711          | 74.0769 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3