---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-hi_test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-tiny-hi_test

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3405
- Wer: 101.7544

## 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: 4
- training_steps: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3725        | 10.0  | 10   | 2.3405          | 101.7544 |
| 1.5413        | 20.0  | 20   | 1.7254          | 263.1579 |


### Framework versions

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