liar_binaryclassifier_roberta_base – AI Model by Vs2882 | AlphaNeural AI

You can deploy this model and start earning money today!

Vs2882/
liar_binaryclassifier_roberta_base

like

0

text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

liar_binaryclassifier_roberta_base

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

Loss: 0.6621
Model Preparation Time: 0.0069
Accuracy: 0.5770

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: 3e-06
train_batch_size: 8
eval_batch_size: 8
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	Model Preparation Time	Accuracy
0.6934	1.0	461	0.6843	0.0069	0.5553
0.6859	2.0	922	0.6815	0.0069	0.5531
0.6774	3.0	1383	0.6666	0.0069	0.5597
0.6671	4.0	1844	0.6742	0.0069	0.5748
0.6596	5.0	2305	0.6621	0.0069	0.5770

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1