---
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-car50_e3n4_voiced_owner12_notmix_copy2x-241130-v1
  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-v2-ft-car50_e3n4_voiced_owner12_notmix_copy2x-241130-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: 2.6648

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 11.7538       | 1.0   | 5    | 9.5147          |
| 7.3786        | 2.0   | 10   | 4.8948          |
| 4.3321        | 3.0   | 15   | 3.7841          |
| 3.6714        | 4.0   | 20   | 3.4497          |
| 3.3676        | 5.0   | 25   | 3.2245          |
| 3.1481        | 6.0   | 30   | 3.0343          |
| 2.9686        | 7.0   | 35   | 2.8786          |
| 2.8224        | 8.0   | 40   | 2.7638          |
| 2.7189        | 9.0   | 45   | 2.6920          |
| 2.67          | 10.0  | 50   | 2.6648          |


### Framework versions

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