---
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_snr0_owner12_MPSENet-241016v2
  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-my_dataset_snr0_owner12_MPSENet-241016v2

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: 0.0019

## 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: 0.001
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 4.0644        | 0.8621 | 25   | 1.0139          |
| 1.3619        | 1.7241 | 50   | 0.0809          |
| 0.0312        | 2.5862 | 75   | 0.0216          |
| 0.018         | 3.4483 | 100  | 0.0263          |
| 0.0063        | 4.3103 | 125  | 0.0191          |
| 0.0032        | 5.1724 | 150  | 0.0124          |
| 0.0004        | 6.0345 | 175  | 0.0092          |
| 0.0043        | 6.8966 | 200  | 0.0126          |
| 0.0           | 7.7586 | 225  | 0.0027          |
| 0.0           | 8.6207 | 250  | 0.0019          |
| 0.0           | 9.4828 | 275  | 0.0019          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1