Halxlm-roberta-base_finetuned_rm_con – AI Model by Kuongan | AlphaNeural AI

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Kuongan/
Halxlm-roberta-base_finetuned_rm_con

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

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Halxlm-roberta-base_finetuned_rm_con

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

Loss: 0.7015
Accuracy: 0.7657
F1 Macro: 0.7671

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
No log	1.0	175	1.0707	0.5229	0.5073
No log	2.0	350	0.7987	0.6543	0.6373
0.9245	3.0	525	0.7000	0.7371	0.7380
0.9245	4.0	700	0.7129	0.7464	0.7482
0.9245	5.0	875	0.6853	0.7543	0.7550
0.5705	6.0	1050	0.7015	0.7657	0.7671
0.5705	7.0	1225	0.7897	0.7529	0.7525
0.5705	8.0	1400	0.8227	0.7607	0.7616
0.3921	9.0	1575	0.8236	0.7457	0.7432

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2