distilbert-base-uncased-finetuned-subreddit_classification – AI Model by nillo36 | AlphaNeural AI

You can deploy this model and start earning money today!

nillo36/
distilbert-base-uncased-finetuned-subreddit_classification

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncased-finetuned-subreddit_classification

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2958
Accuracy: 0.91

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	Accuracy
1.4142	0.6	30	1.2653	0.45
0.9856	1.2	60	0.7754	0.87
0.5056	1.8	90	0.4413	0.9
0.2248	2.4	120	0.2984	0.92
0.1352	3.0	150	0.3265	0.89
0.0856	3.6	180	0.2958	0.91
0.0715	4.2	210	0.2611	0.92
0.0615	4.8	240	0.2738	0.93

Framework versions

Transformers 4.21.3
Pytorch 1.13.0+cpu
Datasets 2.8.0
Tokenizers 0.12.1