xlm-roberta-base-finetuned-panx-de – AI Model by hoangtung386 | AlphaNeural AI

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xlm-roberta-base-finetuned-panx-de

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xlm-roberta-base-finetuned-panx-de

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

Loss: 0.2182
F1: 0.8787

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: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2639	1.0	525	0.1798	0.8056
0.1404	2.0	1050	0.1577	0.8370
0.0994	3.0	1575	0.1451	0.8554
0.0721	4.0	2100	0.1516	0.8532
0.0518	5.0	2625	0.1648	0.8630
0.0341	6.0	3150	0.1926	0.8706
0.024	7.0	3675	0.1911	0.8721
0.0153	8.0	4200	0.2029	0.8773
0.0097	9.0	4725	0.2146	0.8773
0.0075	10.0	5250	0.2182	0.8787

Framework versions

Transformers 4.16.2
Pytorch 2.8.0+cu126
Datasets 1.16.1
Tokenizers 0.22.1