---
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: 0.6849

## 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: 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 1.0192          |
| No log        | 2.0   | 2    | 1.0085          |
| No log        | 3.0   | 3    | 0.9859          |
| No log        | 4.0   | 4    | 0.9554          |
| No log        | 5.0   | 5    | 0.9172          |
| No log        | 6.0   | 6    | 0.8728          |
| No log        | 7.0   | 7    | 0.8330          |
| No log        | 8.0   | 8    | 0.7908          |
| No log        | 9.0   | 9    | 0.7546          |
| No log        | 10.0  | 10   | 0.7167          |
| No log        | 11.0  | 11   | 0.6891          |
| No log        | 12.0  | 12   | 0.6698          |
| No log        | 13.0  | 13   | 0.6546          |
| No log        | 14.0  | 14   | 0.6372          |
| No log        | 15.0  | 15   | 0.6247          |
| No log        | 16.0  | 16   | 0.6198          |
| No log        | 17.0  | 17   | 0.6209          |
| No log        | 18.0  | 18   | 0.6249          |
| No log        | 19.0  | 19   | 0.6316          |
| No log        | 20.0  | 20   | 0.6368          |
| No log        | 21.0  | 21   | 0.6398          |
| No log        | 22.0  | 22   | 0.6463          |
| No log        | 23.0  | 23   | 0.6555          |
| No log        | 24.0  | 24   | 0.6680          |
| 0.4535        | 25.0  | 25   | 0.6789          |
| 0.4535        | 26.0  | 26   | 0.6905          |
| 0.4535        | 27.0  | 27   | 0.7006          |
| 0.4535        | 28.0  | 28   | 0.7102          |
| 0.4535        | 29.0  | 29   | 0.7208          |
| 0.4535        | 30.0  | 30   | 0.7363          |
| 0.4535        | 31.0  | 31   | 0.7512          |
| 0.4535        | 32.0  | 32   | 0.7582          |
| 0.4535        | 33.0  | 33   | 0.7685          |
| 0.4535        | 34.0  | 34   | 0.7794          |
| 0.4535        | 35.0  | 35   | 0.7849          |
| 0.4535        | 36.0  | 36   | 0.7896          |
| 0.4535        | 37.0  | 37   | 0.7917          |
| 0.4535        | 38.0  | 38   | 0.8132          |
| 0.4535        | 39.0  | 39   | 0.7889          |
| 0.4535        | 40.0  | 40   | 0.7614          |
| 0.4535        | 41.0  | 41   | 0.7371          |
| 0.4535        | 42.0  | 42   | 0.7206          |
| 0.4535        | 43.0  | 43   | 0.7066          |
| 0.4535        | 44.0  | 44   | 0.7024          |
| 0.4535        | 45.0  | 45   | 0.7128          |
| 0.4535        | 46.0  | 46   | 0.7242          |
| 0.4535        | 47.0  | 47   | 0.7137          |
| 0.4535        | 48.0  | 48   | 0.7004          |
| 0.4535        | 49.0  | 49   | 0.6883          |
| 0.0261        | 50.0  | 50   | 0.6849          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1