fine-tune-roberta-exist – AI Model by nouman-10 | AlphaNeural AI

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fine-tune-roberta-exist

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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fine-tune-roberta-exist

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

Loss: 1.6927
Accuracy: 0.7529
F1: 0.7507

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	194	0.5439	0.7529	0.7267
No log	2.0	388	0.4870	0.7587	0.7662
0.4612	3.0	582	0.6623	0.7384	0.6959
0.4612	4.0	776	1.0824	0.7035	0.6304
0.4612	5.0	970	1.1488	0.7442	0.7457
0.1986	6.0	1164	1.4686	0.7587	0.7726
0.1986	7.0	1358	1.7357	0.75	0.7362
0.0649	8.0	1552	1.6859	0.7558	0.7586
0.0649	9.0	1746	1.6838	0.7471	0.7418
0.0649	10.0	1940	1.6927	0.7529	0.7507

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2