---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v3
model-index:
- name: Modelo_3_Whisper_Large_v3_10_Epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Modelo_3_Whisper_Large_v3_10_Epochs

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1001

## 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: 0.001
- train_batch_size: 64
- 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: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5337        | 1.0   | 324  | 0.3439          |
| 0.3739        | 2.0   | 648  | 0.2438          |
| 0.2592        | 3.0   | 972  | 0.1949          |
| 0.1722        | 4.0   | 1296 | 0.1579          |
| 0.0989        | 5.0   | 1620 | 0.1303          |
| 0.0635        | 6.0   | 1944 | 0.1161          |
| 0.0338        | 7.0   | 2268 | 0.1050          |
| 0.0148        | 8.0   | 2592 | 0.1008          |
| 0.0083        | 9.0   | 2916 | 0.0990          |
| 0.0054        | 10.0  | 3240 | 0.1001          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2