acer_nitro_mdberta – AI Model by alionder | AlphaNeural AI

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alionder/
acer_nitro_mdberta

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text-classification

generated_from_trainer

microsoft/mdeberta-v3-base

autotrain_compatible

endpoints_compatible

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acer_nitro_mdberta

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7384
F1: 0.7593
Roc Auc: 0.8588
Accuracy: 0.6506

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: 2
eval_batch_size: 2
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	F1	Roc Auc	Accuracy
No log	1.0	166	0.5907	0.7281	0.8497	0.5904
No log	2.0	332	0.5260	0.6836	0.8576	0.5181
No log	3.0	498	0.7023	0.7324	0.8381	0.6024
0.3153	4.0	664	0.7848	0.7245	0.8168	0.5904
0.3153	5.0	830	0.6979	0.7436	0.8666	0.5904
0.3153	6.0	996	0.8550	0.7426	0.8337	0.6265
0.1464	7.0	1162	0.7102	0.7830	0.8700	0.6747
0.1464	8.0	1328	0.7172	0.7721	0.8662	0.6627
0.1464	9.0	1494	0.7812	0.7664	0.8613	0.6506
0.0781	10.0	1660	0.7384	0.7593	0.8588	0.6506

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0