---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v3
model-index:
- name: whisper-large-v3-MH-fine-tuned
  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-v3-MH-fine-tuned

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0926

## 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: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 1.5700          |
| No log        | 2.0   | 2    | 1.5532          |
| No log        | 3.0   | 3    | 1.5169          |
| No log        | 4.0   | 4    | 1.4654          |
| No log        | 5.0   | 5    | 1.4050          |
| No log        | 6.0   | 6    | 1.3413          |
| No log        | 7.0   | 7    | 1.2879          |
| No log        | 8.0   | 8    | 1.2420          |
| No log        | 9.0   | 9    | 1.1945          |
| No log        | 10.0  | 10   | 1.1463          |
| No log        | 11.0  | 11   | 1.0969          |
| No log        | 12.0  | 12   | 1.0539          |
| No log        | 13.0  | 13   | 1.0243          |
| No log        | 14.0  | 14   | 1.0018          |
| No log        | 15.0  | 15   | 0.9775          |
| No log        | 16.0  | 16   | 0.9583          |
| No log        | 17.0  | 17   | 0.9521          |
| No log        | 18.0  | 18   | 0.9549          |
| No log        | 19.0  | 19   | 0.9596          |
| No log        | 20.0  | 20   | 0.9569          |
| No log        | 21.0  | 21   | 0.9512          |
| No log        | 22.0  | 22   | 0.9512          |
| No log        | 23.0  | 23   | 0.9577          |
| No log        | 24.0  | 24   | 0.9615          |
| 1.0177        | 25.0  | 25   | 0.9770          |
| 1.0177        | 26.0  | 26   | 0.9980          |
| 1.0177        | 27.0  | 27   | 1.0184          |
| 1.0177        | 28.0  | 28   | 1.0271          |
| 1.0177        | 29.0  | 29   | 1.0317          |
| 1.0177        | 30.0  | 30   | 1.0514          |
| 1.0177        | 31.0  | 31   | 1.0524          |
| 1.0177        | 32.0  | 32   | 1.0568          |
| 1.0177        | 33.0  | 33   | 1.0673          |
| 1.0177        | 34.0  | 34   | 1.0699          |
| 1.0177        | 35.0  | 35   | 1.0774          |
| 1.0177        | 36.0  | 36   | 1.0873          |
| 1.0177        | 37.0  | 37   | 1.0838          |
| 1.0177        | 38.0  | 38   | 1.0742          |
| 1.0177        | 39.0  | 39   | 1.0757          |
| 1.0177        | 40.0  | 40   | 1.0692          |
| 1.0177        | 41.0  | 41   | 1.0705          |
| 1.0177        | 42.0  | 42   | 1.0738          |
| 1.0177        | 43.0  | 43   | 1.0765          |
| 1.0177        | 44.0  | 44   | 1.0762          |
| 1.0177        | 45.0  | 45   | 1.0806          |
| 1.0177        | 46.0  | 46   | 1.0755          |
| 1.0177        | 47.0  | 47   | 1.0789          |
| 1.0177        | 48.0  | 48   | 1.0783          |
| 1.0177        | 49.0  | 49   | 1.0856          |
| 0.2796        | 50.0  | 50   | 1.0926          |


### Framework versions

- PEFT 0.11.1.dev0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1