xnli_xlm_r_only_ar – AI Model by semindan | AlphaNeural AI

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semindan/
xnli_xlm_r_only_ar

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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xnli_xlm_r_only_ar

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

Loss: 0.8547
Accuracy: 0.7450

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
0.7468	1.0	3068	0.6949	0.7129
0.6117	2.0	6136	0.6233	0.7474
0.5475	3.0	9204	0.6406	0.7538
0.4947	4.0	12272	0.6487	0.7486
0.4484	5.0	15340	0.6633	0.7598
0.4054	6.0	18408	0.7546	0.7337
0.3683	7.0	21476	0.7406	0.7418
0.3366	8.0	24544	0.7835	0.7454
0.3105	9.0	27612	0.8255	0.7454
0.2923	10.0	30680	0.8547	0.7450

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.6.1
Tokenizers 0.13.1