---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: robertolli
  results: []
---

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

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2551
- eval_accuracy: 0.0415
- eval_f1: 0.0033
- eval_runtime: 1781.7772
- eval_samples_per_second: 58.722
- eval_steps_per_second: 0.196
- 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: 5e-05
- train_batch_size: 300
- eval_batch_size: 300
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 600
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1