results_spanish – AI Model by harshvardhanj733 | AlphaNeural AI | AlphaNeural AI

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harshvardhanj733/
results_spanish

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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results_spanish

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: 0.6650
Accuracy: 0.8723
Precision: 0.8712
Recall: 0.8723
F1: 0.8716

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	258	0.8212	0.6518	0.5813	0.6518	0.6054
0.8699	2.0	516	0.6173	0.7795	0.7582	0.7795	0.7637
0.8699	3.0	774	0.6379	0.8182	0.8323	0.8182	0.8221
0.4077	4.0	1032	0.5788	0.8607	0.8625	0.8607	0.8612
0.4077	5.0	1290	0.6009	0.8530	0.8534	0.8530	0.8532
0.2701	6.0	1548	0.6650	0.8723	0.8712	0.8723	0.8716
0.2701	7.0	1806	0.7184	0.8685	0.8694	0.8685	0.8689
0.1895	8.0	2064	0.7405	0.8646	0.8658	0.8646	0.8651

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1