---
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_car100_owner12_snr0x8_mp3-241019-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_car100_owner12_snr0x8_mp3-241019-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: 4.8495

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 11.2648       | 1.0   | 1    | 11.5108         |
| 11.3659       | 2.0   | 2    | 10.3712         |
| 10.3532       | 3.0   | 3    | 8.2361          |
| 8.0834        | 4.0   | 4    | 7.1707          |
| 6.6524        | 5.0   | 5    | 6.3952          |
| 6.0037        | 6.0   | 6    | 5.7626          |
| 5.5881        | 7.0   | 7    | 5.3653          |
| 5.4891        | 8.0   | 8    | 5.0994          |
| 5.2076        | 9.0   | 9    | 4.9297          |
| 4.9913        | 10.0  | 10   | 4.8495          |


### Framework versions

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