---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_base_5120
  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. -->

# model_base_5120

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0825
- Accuracy: 0.2308

## 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: 4e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 768
- total_eval_batch_size: 768
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- training_steps: 100000

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.8.0+cu128
- Datasets 4.4.1
- Tokenizers 0.15.2