---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-hi2
  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. -->

# whisper-tiny-hi2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3163
- Wer: 41.5276

## 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: 32
- eval_batch_size: 1
- 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.0738        | 2.0   | 500  | 0.4355          | 53.2052 |
| 0.3349        | 4.0   | 1000 | 0.3382          | 44.7117 |
| 0.242         | 6.0   | 1500 | 0.3177          | 42.8741 |
| 0.2009        | 8.0   | 2000 | 0.3163          | 41.5276 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1