---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- adalbertojunior/entities
model-index:
- name: test_v4
  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. -->

# test_v4

This model is a fine-tuned version of [./models/entities/test_v4](https://huggingface.co/./models/entities/test_v4) on the adalbertojunior/entities dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1648
- eval_model_preparation_time: 0.0009
- eval_precision: 0.8411
- eval_recall: 0.8900
- eval_f1: 0.8649
- eval_accuracy: 0.9744
- eval_runtime: 177.3832
- eval_samples_per_second: 27.962
- eval_steps_per_second: 27.962
- step: 0

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 20.0

### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.0.1
- Tokenizers 0.21.0