---
library_name: transformers
license: mit
base_model: belisards/pretreino
tags:
- generated_from_trainer
model-index:
- name: congretimbau3
  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. -->

# congretimbau3

This model is a fine-tuned version of [belisards/pretreino](https://huggingface.co/belisards/pretreino) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4885
- eval_runtime: 798.5704
- eval_samples_per_second: 169.279
- eval_steps_per_second: 1.324
- epoch: 2.3669
- step: 10000

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 10

### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0