---
license: apache-2.0
base_model: nandovallec/whisper-tiny-bg-l
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-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-medium-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: 0.0173
- 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.624         | 3.0   | 5    | 1.4084          | 111.7647 |
| 0.5102        | 6.0   | 10   | 0.5733          | 43.1373  |
| 0.2173        | 8.78  | 15   | 0.3225          | 31.3725  |
| 0.0178        | 11.29 | 20   | 0.2035          | 27.4510  |
| 0.0138        | 14.0  | 25   | 0.1143          | 21.5686  |
| 0.036         | 17.0  | 30   | 0.0603          | 3.9216   |
| 0.0296        | 20.0  | 35   | 0.0366          | 1.9608   |
| 0.0074        | 22.59 | 40   | 0.0250          | 1.9608   |
| 0.0014        | 25.1  | 45   | 0.0191          | 0.0      |
| 0.0051        | 28.0  | 50   | 0.0173          | 0.0      |


### Framework versions

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