---
license: apache-2.0
base_model: guilhermebastos96/whisper-large-v2-finetuning
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: whisper-large-v2-finetuning-2
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: pt
      split: None
      args: pt
    metrics:
    - name: Wer
      type: wer
      value: 11.81143898462227
---

<!-- 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-large-v2-finetuning-2

This model is a fine-tuned version of [guilhermebastos96/whisper-large-v2-finetuning](https://huggingface.co/guilhermebastos96/whisper-large-v2-finetuning) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2251
- Wer: 11.8114

## 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: 16
- 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_steps: 500
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0724        | 0.5089 | 1000 | 0.2000          | 15.6703 |
| 0.0322        | 1.0178 | 2000 | 0.2156          | 12.0592 |
| 0.0398        | 1.5267 | 3000 | 0.2065          | 9.9843  |
| 0.0167        | 2.0356 | 4000 | 0.2091          | 10.5134 |
| 0.0107        | 2.5445 | 5000 | 0.2181          | 13.2453 |
| 0.0035        | 3.0534 | 6000 | 0.2251          | 11.8114 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.2.1
- Datasets 2.20.0
- Tokenizers 0.19.1