---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-hi2_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-hi2_test

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4940
- Wer: 59.7206

## 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: 3.75e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.6766        | 1.2698 | 40   | 0.6154          | 81.4733 |
| 0.3599        | 2.5397 | 80   | 0.5078          | 67.0110 |
| 0.2297        | 3.8095 | 120  | 0.4940          | 59.7206 |
| 0.153         | 5.0794 | 160  | 0.5193          | 62.0745 |
| 0.0885        | 6.3492 | 200  | 0.5557          | 60.5843 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1