transformers safetensors whisper automatic-speech-recognition generated_from_trainer base_model:kuladeep2112/speechx-small-kannada license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: kuladeep2112/speechx-small-kannada
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: speechx-small-kannada
  results: []
---

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# speechx-small-kannada

This model is a fine-tuned version of [kuladeep2112/speechx-small-kannada](https://huggingface.co/kuladeep2112/speechx-small-kannada) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2572
- Wer: 68.0068

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1318        | 0.5   | 1000 | 0.2681          | 64.3344 |
| 0.0874        | 1.0   | 2000 | 0.2572          | 68.0068 |


### Framework versions

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