Model3_Marabertv2_T1_WS_A100 – AI Model by SMG0 | AlphaNeural AI

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Model3_Marabertv2_T1_WS_A100

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text-classification

generated_from_trainer

UBC-NLP/MARBERTv2

autotrain_compatible

endpoints_compatible

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Model3_Marabertv2_T1_WS_A100

This model is a fine-tuned version of UBC-NLP/MARBERTv2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2316
F1: 0.8336
F1 Macro: 0.7718
Roc Auc: 0.8974
Accuracy: 0.8066

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: 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1	F1 Macro	Roc Auc	Accuracy
0.2253	1.0	507	0.1618	0.8162	0.7404	0.8787	0.7814
0.1159	2.0	1014	0.1652	0.8273	0.7545	0.8928	0.8017
0.073	3.0	1521	0.1883	0.8355	0.7645	0.8996	0.8045
0.0454	4.0	2028	0.2138	0.8408	0.7700	0.9026	0.8128
0.0301	5.0	2535	0.2316	0.8336	0.7718	0.8974	0.8066

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3