---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-finetuned-7
  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-7

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: 1.2896
- Wer: 19.3061

## 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-09
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.9515        | 1.0   | 7532  | 1.7699          | 27.1166 |
| 1.2475        | 2.0   | 15064 | 1.6434          | 24.6623 |
| 1.2258        | 3.0   | 22596 | 1.5462          | 22.7052 |
| 0.4176        | 4.0   | 30128 | 1.4713          | 21.4012 |
| 1.2809        | 5.0   | 37660 | 1.4125          | 20.3966 |
| 1.5466        | 6.0   | 45192 | 1.3656          | 19.7720 |
| 0.6952        | 7.0   | 52724 | 1.3283          | 19.4675 |
| 2.0103        | 8.0   | 60256 | 1.3030          | 19.3087 |
| 1.4738        | 9.0   | 67788 | 1.2914          | 19.3087 |
| 3.545         | 10.0  | 75320 | 1.2896          | 19.3061 |


### Framework versions

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