distilroberta-topic-classification_4 – AI Model by abdulmatinomotoso | AlphaNeural AI

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abdulmatinomotoso/
distilroberta-topic-classification_4

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text-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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distilroberta-topic-classification_4

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

Loss: 3.5428
Acc: 0.7557

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: 32
eval_batch_size: 32
seed: 12345
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 16
num_epochs: 20
mixed_precision_training: Native AMP
label_smoothing_factor: 0.5

Training results

Training Loss	Epoch	Step	Validation Loss	Acc
3.6261	1.0	564	3.6045	0.6610
3.5223	2.0	1128	3.5326	0.7111
3.4204	3.0	1692	3.5040	0.7322
3.3446	4.0	2256	3.4980	0.7400
3.2737	5.0	2820	3.4872	0.7539
3.2533	6.0	3384	3.4967	0.7555
3.2059	7.0	3948	3.5038	0.7613
3.1697	8.0	4512	3.5258	0.7537
3.1439	9.0	5076	3.5311	0.7573
3.1426	10.0	5640	3.5334	0.7544
3.1325	11.0	6204	3.5311	0.7562
3.1165	12.0	6768	3.5428	0.7557

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0