---
license: other
tags:
- generated_from_trainer
datasets:
- glue
base_model: facebook/opt-350m
model-index:
- name: opt-350m-finetuned-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. -->

# opt-350m-finetuned-cola

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5491
- eval_matthews_correlation: 0.4348
- eval_runtime: 47.8666
- eval_samples_per_second: 21.79
- eval_steps_per_second: 1.379
- epoch: 2.0
- step: 1070

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0