---
base_model: Sekiraw/whisper-small-hyper-tuned-v2
library_name: transformers
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: whisper-small-hyper-tuned-v3
  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-small-hyper-tuned-v3

This model is a fine-tuned version of [Sekiraw/whisper-small-hyper-tuned-v2](https://huggingface.co/Sekiraw/whisper-small-hyper-tuned-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2305
- Wer: 0.3964

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.1243        | 0.0330 | 100  | 0.2124          | 0.3780 |
| 0.1045        | 0.0660 | 200  | 0.2246          | 0.3971 |
| 0.0936        | 0.0990 | 300  | 0.2496          | 0.4044 |
| 0.0883        | 0.1320 | 400  | 0.2906          | 0.4809 |
| 0.0964        | 0.1650 | 500  | 0.3260          | 0.4525 |
| 0.0974        | 0.1980 | 600  | 0.3168          | 0.4578 |
| 4.0232        | 0.2309 | 700  | 3.4281          | 1.0    |
| 2.0352        | 0.2639 | 800  | 0.3124          | 0.4796 |
| 0.1273        | 0.2969 | 900  | 0.2447          | 0.4228 |
| 0.1489        | 0.3299 | 1000 | 0.2305          | 0.3964 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.1.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0