---
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_voiceless_mix_voiced_owner12_copy1x-241203-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-car50_e3n4_voiceless_mix_voiced_owner12_copy1x-241203-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: 2.6578

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 11.5548       | 1.0   | 5    | 9.6624          |
| 7.4639        | 2.0   | 10   | 4.9015          |
| 4.3281        | 3.0   | 15   | 3.7228          |
| 3.6059        | 4.0   | 20   | 3.3802          |
| 3.3168        | 5.0   | 25   | 3.1692          |
| 3.1027        | 6.0   | 30   | 2.9916          |
| 2.9387        | 7.0   | 35   | 2.8507          |
| 2.807         | 8.0   | 40   | 2.7474          |
| 2.7155        | 9.0   | 45   | 2.6823          |
| 2.6691        | 10.0  | 50   | 2.6578          |


### Framework versions

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