DSC_xlm-roberta-large_finetuned – AI Model by nhatha2004 | AlphaNeural AI

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nhatha2004/
DSC_xlm-roberta-large_finetuned

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

text-embeddings-inference

endpoints_compatible

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DSC_xlm-roberta-large_finetuned

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

Loss: 1.0981
Accuracy: 0.35
F1 Macro: 0.1728

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: 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
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
1.1194	1.0	350	1.1025	0.3293	0.1651
1.1063	2.0	700	1.0981	0.35	0.1728
1.1026	3.0	1050	1.0987	0.35	0.1728
1.1043	4.0	1400	1.0986	0.35	0.1728
1.1023	5.0	1750	1.1013	0.35	0.1728
1.1025	6.0	2100	1.0996	0.3293	0.1651

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2