---
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-cv16-1__car50-e3n4-copy2x__car50-n4r2_owner12-copy2x_notmix-241122-v1
  results: []
---

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# whisper-large-v2-ft-cv16-1__car50-e3n4-copy2x__car50-n4r2_owner12-copy2x_notmix-241122-v1

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1116

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4368        | 1.0   | 65   | 2.3278          |
| 1.4043        | 2.0   | 130  | 0.5102          |
| 0.1621        | 3.0   | 195  | 0.1136          |
| 0.1227        | 4.0   | 260  | 0.1086          |
| 0.1065        | 5.0   | 325  | 0.1076          |
| 0.0937        | 6.0   | 390  | 0.1088          |
| 0.0851        | 7.0   | 455  | 0.1089          |
| 0.0777        | 8.0   | 520  | 0.1103          |
| 0.0724        | 9.0   | 585  | 0.1111          |
| 0.0696        | 10.0  | 650  | 0.1116          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0