---
library_name: transformers
language:
- en
license: mit
base_model: JeremiahZ/roberta-base-cola
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: roberta-base-relu-cola
  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. -->

# roberta-base-relu-cola

This model is a fine-tuned version of [JeremiahZ/roberta-base-cola](https://huggingface.co/JeremiahZ/roberta-base-cola) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2395
- eval_model_preparation_time: 0.0024
- eval_matthews_correlation: 0.5652
- eval_runtime: 9.4256
- eval_samples_per_second: 110.656
- eval_steps_per_second: 27.69
- step: 0


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5, 2e-5, 3e-5
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- num_epochs: 10

The best model was selected based on the highest accuracy, which is the key evaluation metric for this task.

### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0