xlmr_baseline_regression_upd_upd – AI Model by n1kg0r | AlphaNeural AI

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n1kg0r/
xlmr_baseline_regression_upd_upd

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

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xlmr_baseline_regression_upd_upd

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

Loss: 0.7316
Mse: 0.7316
Rmse: 0.8553
Mae: 0.6577

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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Rmse	Mae
2.0412	1.0	114	1.3196	1.3196	1.1487	0.9074
1.1204	2.0	228	0.9983	0.9983	0.9991	0.7899
0.7781	3.0	342	1.4813	1.4813	1.2171	0.9933
0.537	4.0	456	0.8878	0.8878	0.9423	0.7357
0.4374	5.0	570	0.7316	0.7316	0.8553	0.6577

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1