grow_classification_xlmr – AI Model by djifg | AlphaNeural AI

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djifg/
grow_classification_xlmr

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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grow_classification_xlmr

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

Loss: 0.5685
Accuracy: 0.9331
F1: 0.9323

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: 3e-05
train_batch_size: 64
eval_batch_size: 64
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
0.2912	1.0	450	0.4021	0.9166	0.9159
0.0609	2.0	900	0.5478	0.9163	0.9155
0.0304	3.0	1350	0.5494	0.9273	0.9266
0.0154	4.0	1800	0.5599	0.9309	0.9301
0.0092	5.0	2250	0.5685	0.9331	0.9323

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3