xlm-roberta-base-swe – AI Model by FrinzTheCoder | AlphaNeural AI

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FrinzTheCoder/
xlm-roberta-base-swe

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-swe

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

Loss: 0.0786
Accuracy: 0.8697
F1 Binary: 0.6679
Precision: 0.5772
Recall: 0.7924

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: 3e-05
train_batch_size: 32
eval_batch_size: 8
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_steps: 17
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Binary	Precision	Recall
No log	1.0	178	0.1732	0.2080	0.2900	0.1702	0.9788
No log	2.0	356	0.1125	0.8410	0.6038	0.5134	0.7331
0.1289	3.0	534	0.1079	0.8452	0.6335	0.5204	0.8093
0.1289	4.0	712	0.0786	0.8697	0.6679	0.5772	0.7924

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0