---
language:
- eng
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Tiny AlphaDigit Decoder Finetune 10k Clean
  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 Tiny AlphaDigit Decoder Finetune 10k Clean

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0615
- Wer: 58.8931

## 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: 32
- eval_batch_size: 16
- 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: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0987        | 0.51  | 1000  | 0.0878          | 90.7605 |
| 0.0745        | 1.03  | 2000  | 0.0737          | 91.3320 |
| 0.0647        | 1.54  | 3000  | 0.0689          | 83.4997 |
| 0.063         | 2.05  | 4000  | 0.0676          | 79.2696 |
| 0.0498        | 2.56  | 5000  | 0.0655          | 69.8125 |
| 0.0511        | 3.08  | 6000  | 0.0634          | 69.5636 |
| 0.0373        | 3.59  | 7000  | 0.0623          | 65.4287 |
| 0.0361        | 4.1   | 8000  | 0.0619          | 61.4768 |
| 0.0465        | 4.61  | 9000  | 0.0617          | 59.5491 |
| 0.0376        | 5.13  | 10000 | 0.0615          | 58.8931 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3