transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer hi base_model:reproductionguru/voicetest6 license:apache-2.0 endpoints_compatible region:us
---
language:
- hi
license: apache-2.0
base_model: reproductionguru/voicetest6
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: base
  results: []
---

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# base

This model is a fine-tuned version of [reproductionguru/voicetest6](https://huggingface.co/reproductionguru/voicetest6) on the tutorial Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5845
- Wer: 18.9294

## 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: 12
- eval_batch_size: 12
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.2138        | 0.96  | 2000  | 0.4851          | 20.9147 |
| 0.1005        | 1.93  | 4000  | 0.5006          | 20.7187 |
| 0.029         | 2.89  | 6000  | 0.5342          | 19.6702 |
| 0.0092        | 3.85  | 8000  | 0.5682          | 19.0752 |
| 0.0029        | 4.82  | 10000 | 0.5845          | 18.9294 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
