README.md

---
license: apache-2.0
tags:
- generated_from_trainer
- audio 
- automatic-speech-recognition 
- speech  # Example: speech

pipeline_tag: automatic-speech-recognition

model-index:
  name: iloko_model
---

<!-- 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. -->

# iloko_model

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0663
- Wer: 0.1235

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4454        | 1.11  | 100  | 3.0569          | 1.0    |
| 2.6883        | 2.22  | 200  | 2.6725          | 1.0    |
| 2.6082        | 3.33  | 300  | 2.6133          | 1.0    |
| 1.7907        | 4.44  | 400  | 1.4020          | 0.9996 |
| 0.5616        | 5.56  | 500  | 0.2521          | 0.3217 |
| 0.2554        | 6.67  | 600  | 0.1373          | 0.1981 |
| 0.1604        | 7.78  | 700  | 0.0904          | 0.1468 |
| 0.1507        | 8.89  | 800  | 0.0740          | 0.1308 |
| 0.1012        | 10.0  | 900  | 0.0663          | 0.1235 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu102
- Datasets 1.13.3
- Tokenizers 0.10.3