---
library_name: transformers
base_model: checkpoints/sonar_mini
tags:
- generated_from_trainer
model-index:
- name: sonar_mini
  results: []
---

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

This model is a fine-tuned version of [checkpoints/sonar_mini](https://huggingface.co/checkpoints/sonar_mini) on an unknown 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 512
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- total_train_batch_size: 192
- total_eval_batch_size: 3072
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.53.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4