---
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: 0.6505
- Wer: 69.9890

## 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
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.2169        | 1.25  | 40   | 1.0360          | 91.6081 |
| 0.7302        | 2.5   | 80   | 0.7369          | 79.8035 |
| 0.5917        | 3.75  | 120  | 0.6505          | 69.9890 |
| 0.5156        | 5.0   | 160  | 0.6157          | 70.4293 |
| 0.481         | 6.25  | 200  | 0.6051          | 70.0398 |


### Framework versions

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