Analisis-sentimientos-XLM-Roberta-2025-II – AI Model by raulgdp | AlphaNeural AI

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raulgdp/
Analisis-sentimientos-XLM-Roberta-2025-II

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

text-embeddings-inference

endpoints_compatible

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Analisis-sentimientos-XLM-Roberta-2025-II

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: 1.0905
F1-score: 0.1878
Accuracy: 0.3923

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: Use adamw_torch_fused 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: 500
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score	Accuracy
1.109	1.0	481	1.0961	0.1606	0.3174
1.1003	2.0	962	1.0940	0.1878	0.3923
1.1034	3.0	1443	1.0955	0.1878	0.3923
1.0983	4.0	1924	1.0934	0.1878	0.3923
1.0958	5.0	2405	1.0907	0.1878	0.3923
1.0964	6.0	2886	1.0905	0.1878	0.3923

Framework versions

Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.3.0
Tokenizers 0.22.1