transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer gn dataset:mozilla-foundation/common_voice_16_1 base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
language:
- gn
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: Common Voice 16 - Guarani
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Common Voice 16 - Guarani

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5109
- Cer: 9.2551

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 2.4482        | 1.01  | 100  | 0.8934          | 14.3691 |
| 0.3998        | 2.02  | 200  | 0.5143          | 10.8002 |
| 0.1611        | 3.03  | 300  | 0.4834          | 11.6409 |
| 0.0765        | 4.04  | 400  | 0.5059          | 9.7844  |
| 0.0482        | 5.05  | 500  | 0.5109          | 9.2551  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
