---
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-my_dataset_car30_owner12_notmix_copy8x_mp3-241113-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-my_dataset_car30_owner12_notmix_copy8x_mp3-241113-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: 0.0000

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.7235        | 1.0   | 90   | 2.3459          |
| 0.7833        | 2.0   | 180  | 0.0019          |
| 0.0003        | 3.0   | 270  | 0.0000          |
| 0.0           | 4.0   | 360  | 0.0000          |
| 0.0           | 5.0   | 450  | 0.0000          |
| 0.0           | 6.0   | 540  | 0.0000          |
| 0.0           | 7.0   | 630  | 0.0000          |
| 0.0           | 8.0   | 720  | 0.0000          |
| 0.0           | 9.0   | 810  | 0.0000          |
| 0.0           | 10.0  | 900  | 0.0000          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.0
- Tokenizers 0.20.3