deberta-v3-base-imdb – AI Model by dfurman | AlphaNeural AI

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dfurman/
deberta-v3-base-imdb

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text-classification

generated_from_trainer

stanfordnlp/imdb

microsoft/deberta-v3-base

autotrain_compatible

endpoints_compatible

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deberta-v3-base-imdb

This model is a fine-tuned version of microsoft/deberta-v3-base on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.3594
Accuracy: 0.9577
F1: 0.9579
Precision: 0.9530
Recall: 0.9629

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: 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	Accuracy	F1	Precision	Recall
0.3108	1.0	12500	0.2634	0.9530	0.9529	0.9557	0.9502
0.2322	2.0	25000	0.2629	0.9546	0.9552	0.9437	0.9670
0.1119	3.0	37500	0.2944	0.9546	0.9550	0.9467	0.9634
0.0292	4.0	50000	0.3694	0.9557	0.9564	0.9422	0.9710
0.0191	5.0	62500	0.3594	0.9577	0.9579	0.9530	0.9629

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2