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---
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
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