---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-finetuned-5
  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-5

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: 0.3599
- Wer: 50.9574

## 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: 1e-08
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.934         | 1.0   | 7532  | 0.9560          | 16.8450 |
| 0.8091        | 2.0   | 15064 | 0.5512          | 14.8480 |
| 1.8408        | 3.0   | 22596 | 0.4653          | 14.6010 |
| 0.1874        | 4.0   | 30128 | 0.4304          | 14.4735 |
| 0.0178        | 5.0   | 37660 | 0.3972          | 14.2372 |
| 1.2841        | 6.0   | 45192 | 0.3756          | 53.3820 |
| 0.0041        | 7.0   | 52724 | 0.3663          | 49.1462 |
| 0.3521        | 8.0   | 60256 | 0.3628          | 50.0624 |
| 0.0849        | 9.0   | 67788 | 0.3604          | 51.1061 |
| 1.2129        | 10.0  | 75320 | 0.3599          | 50.9574 |


### Framework versions

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