metadata

library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - matthews_correlation
model-index:
  - name: distilbert-base-uncased-finetuned-cola
    results: []

distilbert-base-uncased-finetuned-cola

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5023
Matthews Correlation: 0.4819

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: 1.835609128853824e-05
train_batch_size: 16
eval_batch_size: 16
seed: 15
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.5241	1.0	535	0.4830	0.4603
0.3568	2.0	1070	0.5023	0.4819

Framework versions

Transformers 4.45.0
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.0