fedcsis-intent_baseline-xlm_r-pl – AI Model by Glorciocon3 | AlphaNeural AI

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Glorciocon3/
fedcsis-intent_baseline-xlm_r-pl

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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fedcsis-intent_baseline-xlm_r-pl

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

Loss: 0.2781
Accuracy: 0.9389
F1: 0.9389

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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.5554	1.0	1275	0.9207	0.7954	0.7954
0.5204	2.0	2551	0.4151	0.9116	0.9116
0.2982	3.0	3827	0.2462	0.9496	0.9496
0.1767	4.0	5103	0.1827	0.9652	0.9652
0.1351	5.0	6375	0.1666	0.9661	0.9661

Framework versions

Transformers 4.28.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3