DistilRoBERTa_Thunderbird-Anomaly_Baseline – AI Model by EgilKarlsen | AlphaNeural AI

You can deploy this model and start earning money today!

EgilKarlsen/
DistilRoBERTa_Thunderbird-Anomaly_Baseline

like

0

text-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

DistilRoBERTa_Thunderbird-Anomaly_Baseline

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

Loss: 0.0031
Accuracy: 0.9999

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0958	1.0	1094	0.0623	0.9846
0.0514	2.0	2188	0.0340	0.9846
0.0261	3.0	3282	0.0168	0.9896
0.0147	4.0	4376	0.0095	1.0
0.01	5.0	5470	0.0061	1.0
0.0071	6.0	6564	0.0042	1.0
0.0058	7.0	7658	0.0031	1.0
0.0046	8.0	8752	0.0025	1.0
0.0043	9.0	9846	0.0022	1.0
0.0038	10.0	10940	0.0021	1.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3