---
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__car200-e3n4-A50B100_car100-n4r2_car50-r2n2_owner12-copy2x-241216-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__car200-e3n4-A50B100_car100-n4r2_car50-r2n2_owner12-copy2x-241216-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: 0.0973

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7031        | 1.0   | 177  | 1.0670          |
| 0.2967        | 2.0   | 354  | 0.1021          |
| 0.108         | 3.0   | 531  | 0.0896          |
| 0.0844        | 4.0   | 708  | 0.0871          |
| 0.0692        | 5.0   | 885  | 0.0867          |
| 0.0567        | 6.0   | 1062 | 0.0890          |
| 0.047         | 7.0   | 1239 | 0.0914          |
| 0.0399        | 8.0   | 1416 | 0.0927          |
| 0.0342        | 9.0   | 1593 | 0.0958          |
| 0.0305        | 10.0  | 1770 | 0.0973          |


### Framework versions

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