roberta-base-finetuned-qqp – AI Model by hjimenez32 | AlphaNeural AI

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hjimenez32/
roberta-base-finetuned-qqp

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta-base-finetuned-qqp

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

Loss: 0.2344
Accuracy: 0.9109
F1: 0.8826

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: 400
eval_batch_size: 400
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3438	1.0	910	0.2583	0.8869	0.8561
0.2361	2.0	1820	0.2338	0.9011	0.8670
0.1993	3.0	2730	0.2269	0.9078	0.8763
0.1727	4.0	3640	0.2272	0.9104	0.8810
0.1553	5.0	4550	0.2344	0.9109	0.8826

Framework versions

Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2