---
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__my_dataset_car50_owner12_notmix_copy2x_mp3-241117-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-large-v2-ft-cv16-1__my_dataset_car50_owner12_notmix_copy2x_mp3-241117-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: 0.1189

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3327        | 1.0   | 61   | 2.3013          |
| 1.4934        | 2.0   | 122  | 0.1615          |
| 0.2262        | 3.0   | 183  | 0.1212          |
| 0.1299        | 4.0   | 244  | 0.1157          |
| 0.1135        | 5.0   | 305  | 0.1146          |
| 0.1002        | 6.0   | 366  | 0.1149          |
| 0.0901        | 7.0   | 427  | 0.1159          |
| 0.083         | 8.0   | 488  | 0.1173          |
| 0.0787        | 9.0   | 549  | 0.1183          |
| 0.0746        | 10.0  | 610  | 0.1189          |


### Framework versions

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