---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-finetuned-6
  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-finetuned-6

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1070
- Wer: 115.1997

## 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: 2e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer      |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3572        | 1.0   | 7532  | 0.2604          | 105.7528 |
| 0.0008        | 2.0   | 15064 | 0.1888          | 99.7556  |
| 0.0001        | 3.0   | 22596 | 0.1495          | 106.2064 |
| 0.0           | 4.0   | 30128 | 0.1288          | 97.6591  |
| 0.0025        | 5.0   | 37660 | 0.1170          | 124.9313 |
| 0.0001        | 6.0   | 45192 | 0.1071          | 122.8575 |
| 0.0001        | 7.0   | 52724 | 0.1053          | 117.5784 |
| 0.0009        | 8.0   | 60256 | 0.1045          | 117.7447 |
| 0.0           | 9.0   | 67788 | 0.1058          | 118.8636 |
| 0.0003        | 10.0  | 75320 | 0.1070          | 115.1997 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2