---
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: 0.6099

## 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: 8
- eval_batch_size: 4
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0586        | 1.0   | 4    | 0.8056          |
| 1.0643        | 2.0   | 8    | 0.6915          |
| 0.7456        | 3.0   | 12   | 0.6105          |
| 0.6496        | 4.0   | 16   | 0.5754          |
| 0.6013        | 5.0   | 20   | 0.5447          |
| 0.443         | 6.0   | 24   | 0.5263          |
| 0.3267        | 7.0   | 28   | 0.5356          |
| 0.2908        | 8.0   | 32   | 0.5291          |
| 0.1509        | 9.0   | 36   | 0.5256          |
| 0.1156        | 10.0  | 40   | 0.5158          |
| 0.0715        | 11.0  | 44   | 0.5315          |
| 0.0516        | 12.0  | 48   | 0.5286          |
| 0.0457        | 13.0  | 52   | 0.5434          |
| 0.048         | 14.0  | 56   | 0.5550          |
| 0.0297        | 15.0  | 60   | 0.5781          |
| 0.0213        | 16.0  | 64   | 0.5890          |
| 0.0198        | 17.0  | 68   | 0.6000          |
| 0.0175        | 18.0  | 72   | 0.6046          |
| 0.0158        | 19.0  | 76   | 0.6101          |
| 0.0128        | 20.0  | 80   | 0.6099          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2