---
base_model: jako_xlsr_100p_run1
tags:
- automatic-speech-recognition
- ./train_dataset.py
- generated_from_trainer
model-index:
- name: jako_xlsr_100p_run1
  results: []
---

<!-- 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. -->

# jako_xlsr_100p_run1

This model is a fine-tuned version of [jako_xlsr_100p_run1](https://huggingface.co/jako_xlsr_100p_run1) on the ./TRAIN_DATASET.PY - NA dataset.

## 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: 5.064680186549053e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0