fm-tc-hybrid_VIC – AI Model by adriansanz | AlphaNeural AI

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adriansanz/
fm-tc-hybrid_VIC

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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Vic_model

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3019
Accuracy: 0.9557
Precision: 0.9557
Recall: 0.9557
F1: 0.9553

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: 5e-05
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3758	1.0	1225	0.5931	0.9114	0.9140	0.9114	0.9099
0.2006	2.0	2450	0.3729	0.9357	0.9372	0.9357	0.9346
0.0666	3.0	3675	0.4306	0.9371	0.9381	0.9371	0.9367
0.0244	4.0	4900	0.3019	0.9557	0.9557	0.9557	0.9553

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1