clef1ar – AI Model by keles | AlphaNeural AI

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keles/
clef1ar

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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clef1ar

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

Loss: 0.4347
F1: 0.6539

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.5791	0.4843	200	0.5243	0.0
0.5199	0.9685	400	0.4892	0.5056
0.4637	1.4528	600	0.4469	0.5788
0.4391	1.9370	800	0.4363	0.5637
0.4206	2.4213	1000	0.4347	0.6539
0.4189	2.9056	1200	0.4250	0.6359
0.4049	3.3898	1400	0.4270	0.6217
0.3796	3.8741	1600	0.4386	0.6212
0.4007	4.3584	1800	0.4310	0.6301
0.3785	4.8426	2000	0.4315	0.6205

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1