NereuS28
/

BERT1bert-large-uncased-finetuned-cola

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

Metrics Training metrics Community

BERT1bert-large-uncased-finetuned-cola

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

Loss: 0.9476
Matthews Correlation: 0.6185

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

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.4566	1.0	535	0.4120	0.5206
0.2681	2.0	1070	0.4370	0.6001
0.1804	3.0	1605	0.6445	0.6108
0.1059	4.0	2140	0.8336	0.6183
0.0624	5.0	2675	0.9476	0.6185

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Downloads last month: 2

Safetensors

Model size

0.3B params

Tensor type

F32

·

Model tree for NereuS28/BERT1bert-large-uncased-finetuned-cola

Base model

google-bert/bert-large-uncased

Finetuned

(174)

this model