paws_x_xlm_r_only_de – AI Model by semindan | AlphaNeural AI

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semindan/
paws_x_xlm_r_only_de

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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paws_x_xlm_r_only_de

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

Loss: 0.5602
Accuracy: 0.87

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4751	1.0	386	0.4272	0.826
0.2308	2.0	772	0.3728	0.8575
0.1753	3.0	1158	0.4369	0.845
0.1387	4.0	1544	0.3616	0.8645
0.1169	5.0	1930	0.4507	0.8635
0.0975	6.0	2316	0.4476	0.8595
0.0829	7.0	2702	0.5073	0.8675
0.072	8.0	3088	0.5038	0.8655
0.0626	9.0	3474	0.5009	0.868
0.0562	10.0	3860	0.5602	0.87

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.6.1
Tokenizers 0.13.1