---
license: apache-2.0
base_model: Rafaelrosendo1/whisper-large-pt
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-pt
  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-large-pt

This model is a fine-tuned version of [Rafaelrosendo1/whisper-large-pt](https://huggingface.co/Rafaelrosendo1/whisper-large-pt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2494
- Wer: 23.0283

## 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-08
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 9000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0038        | 21.4  | 9000 | 0.2494          | 23.0283 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.3.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1