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---
language:
- es
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- ctam8736/papi_asr
metrics:
- wer
model-index:
- name: Whisper Small Papi/Es
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Papi ASR Test
type: ctam8736/papi_asr
args: 'config: es, split: test'
metrics:
- name: Wer
type: wer
value: 29.977162647125255
---
<!-- 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 Papi/Es
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR Test dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1243
- Wer: 29.9772
## 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: 1000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0881 | 0.34 | 200 | 0.1414 | 23.3066 |
| 0.0563 | 0.69 | 400 | 0.1388 | 23.8738 |
| 0.0416 | 1.03 | 600 | 0.1367 | 26.2630 |
| 0.044 | 1.38 | 800 | 0.1295 | 29.1289 |
| 0.0546 | 1.72 | 1000 | 0.1243 | 29.9772 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
|