---
library_name: transformers
license: apache-2.0
base_model: jun-han/Whisper-Small-architecture-change
tags:
- generated_from_trainer
model-index:
- name: Whisper-Small-architecture-change
  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-architecture-change

This model is a fine-tuned version of [jun-han/Whisper-Small-architecture-change](https://huggingface.co/jun-han/Whisper-Small-architecture-change) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4281
- Cer: 24.9352

## 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-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: 3750
- training_steps: 60000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Cer      | Validation Loss |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 3.0206        | 1.0   | 3750  | 101.4703 | 2.9448          |
| 2.6624        | 2.0   | 7500  | 99.0366  | 2.7587          |
| 1.4476        | 3.0   | 11250 | 80.5695  | 1.4832          |
| 0.7219        | 4.0   | 15000 | 49.1456  | 0.8063          |
| 0.5387        | 5.0   | 18750 | 41.2985  | 0.6620          |
| 0.3824        | 6.0   | 22500 | 39.1312  | 0.6240          |
| 0.3445        | 7.0   | 26250 | 37.5137  | 0.5984          |
| 0.2819        | 8.0   | 30000 | 36.6006  | 0.5823          |
| 0.538         | 9.0   | 33750 | 0.5156   | 30.9133         |
| 0.3792        | 10.0  | 37500 | 0.4562   | 27.3205         |
| 0.2974        | 11.0  | 41250 | 0.4408   | 26.4521         |
| 0.2281        | 12.0  | 45000 | 0.4225   | 25.7254         |
| 0.1644        | 13.0  | 48750 | 0.4207   | 25.1123         |
| 0.1208        | 14.0  | 52500 | 0.4241   | 25.0098         |
| 0.0877        | 15.0  | 56250 | 0.4232   | 24.9781         |
| 0.0652        | 16.0  | 60000 | 0.4281   | 24.9352         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1