---
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: whisper-base-finetuned-common_voice
  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-base-finetuned-common_voice

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Accuracy: 1.0
- F1: 1.0
- Recall: 1.0
- Precision: 1.0
- Mcc: 1.0
- Auc: 1.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision | Mcc    | Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:------:|:---:|
| 0.0012        | 1.0   | 200  | 0.0024          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0874        | 2.0   | 400  | 0.1391          | 0.975    | 0.9748 | 0.975  | 0.9773    | 0.9694 | 1.0 |
| 0.0003        | 3.0   | 600  | 0.0003          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0002        | 4.0   | 800  | 0.0002          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0001        | 5.0   | 1000 | 0.0002          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0001        | 6.0   | 1200 | 0.0001          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0001        | 7.0   | 1400 | 0.0001          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0001        | 8.0   | 1600 | 0.0001          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0001        | 9.0   | 1800 | 0.0001          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |
| 0.0001        | 10.0  | 2000 | 0.0001          | 1.0      | 1.0    | 1.0    | 1.0       | 1.0    | 1.0 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1