---
license: apache-2.0
base_model: nandovallec/whisper-tiny-bg-l
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-order
  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-order

This model is a fine-tuned version of [nandovallec/whisper-tiny-bg-l](https://huggingface.co/nandovallec/whisper-tiny-bg-l) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0111
- Wer: 0.0

## 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: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1524        | 5.0   | 5    | 0.2217          | 11.1111 |
| 0.0766        | 10.0  | 10   | 0.1033          | 8.8889  |
| 0.0347        | 15.0  | 15   | 0.0563          | 11.1111 |
| 0.0166        | 20.0  | 20   | 0.0274          | 2.2222  |
| 0.0084        | 25.0  | 25   | 0.0145          | 0.0     |
| 0.0051        | 30.0  | 30   | 0.0111          | 0.0     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0