XLMRoberta-TASS-v2-2026 – AI Model by raulgdp | AlphaNeural AI

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raulgdp/
XLMRoberta-TASS-v2-2026

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

text-embeddings-inference

endpoints_compatible

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XLMRoberta-TASS-v2-2026

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

Loss: 0.9640
F1 Macro: 0.5098
F1 Weighted: 0.5186
Accuracy: 0.5630

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: 1e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use 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_ratio: 0.15
num_epochs: 6
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Weighted	Accuracy
1.1069	1.0	241	1.0931	0.3048	0.3239	0.3694
1.1106	2.0	482	1.0892	0.1878	0.2211	0.3923
1.0845	3.0	723	1.0726	0.3716	0.3849	0.4807
1.081	4.0	964	1.0165	0.4088	0.4198	0.5182
1.0413	5.0	1205	0.9810	0.4980	0.5061	0.5546
1.036	6.0	1446	0.9640	0.5098	0.5186	0.5630

Framework versions

Transformers 4.57.1
Pytorch 2.7.1+cu118
Datasets 4.2.0
Tokenizers 0.22.1