vmarklynn
/

cyberbully_test

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

cyberbully_test

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: 0.2852
Accuracy: 0.8843

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3145	1.0	3802	0.2910	0.8717
0.2536	2.0	7604	0.2852	0.8843

Framework versions

Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3

Downloads last month: 8

Model tree for vmarklynn/cyberbully_test

Base model

distilbert/distilbert-base-uncased

Finetuned

this model