---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- ASR
- Papiamentu
- Whisper
- Speech Recognition
- generated_from_trainer
datasets:
- sonnygeorge/papi_asr_corpus
metrics:
- wer
model-index:
- name: Whisper Tiny Papiamentu
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Papi ASR
      type: sonnygeorge/papi_asr_corpus
    metrics:
    - name: Wer
      type: wer
      value: 85.22752415369865
---

<!-- 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 Papiamentu

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0809
- Wer: 85.2275
- Cer: 34.1432

## 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: 500
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| No log        | 0.01  | 5    | 4.6530          | 101.2317 | 53.1862 |
| No log        | 0.01  | 10   | 4.6414          | 102.1683 | 53.8408 |
| No log        | 0.02  | 15   | 4.6073          | 102.0577 | 53.5251 |
| No log        | 0.03  | 20   | 4.5651          | 101.3275 | 52.8798 |
| 4.5851        | 0.04  | 25   | 4.3546          | 100.9956 | 52.4930 |
| 4.5851        | 0.04  | 30   | 4.2726          | 98.9158  | 50.6731 |
| 4.5851        | 0.05  | 35   | 4.1573          | 98.3922  | 50.3358 |
| 4.5851        | 0.06  | 40   | 3.9879          | 96.8360  | 48.6228 |
| 4.5851        | 0.07  | 45   | 3.8552          | 96.4747  | 47.4498 |
| 4.1061        | 0.07  | 50   | 3.6580          | 94.7710  | 47.1001 |
| 4.1061        | 0.08  | 55   | 3.4486          | 93.1780  | 45.8250 |
| 4.1061        | 0.09  | 60   | 3.2790          | 94.1441  | 46.0849 |
| 4.1061        | 0.1   | 65   | 3.1437          | 93.4730  | 45.1332 |
| 4.1061        | 0.1   | 70   | 3.0021          | 91.7029  | 42.6202 |
| 3.2929        | 0.11  | 75   | 2.8536          | 92.1086  | 41.3095 |
| 3.2929        | 0.12  | 80   | 2.7078          | 90.1468  | 38.6819 |
| 3.2929        | 0.13  | 85   | 2.5575          | 88.8045  | 37.2195 |
| 3.2929        | 0.13  | 90   | 2.4029          | 88.6865  | 36.6887 |
| 3.2929        | 0.14  | 95   | 2.2431          | 89.0257  | 35.9986 |
| 2.4377        | 0.15  | 100  | 2.0809          | 85.2275  | 34.1432 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0