xlm-roberta-base_ary_corr_5e-06 – AI Model by Shijia | AlphaNeural AI

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Shijia/
xlm-roberta-base_ary_corr_5e-06

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base_ary_corr_5e-06

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

Loss: 0.0259
Spearman Corr: 0.7521

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-06
train_batch_size: 32
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman Corr
No log	0.9	200	0.0254	0.7482
No log	1.8	400	0.0271	0.7422
0.006	2.7	600	0.0248	0.7442
0.006	3.6	800	0.0269	0.7501
0.0056	4.5	1000	0.0269	0.7512
0.0056	5.41	1200	0.0259	0.7502
0.005	6.31	1400	0.0254	0.7504
0.005	7.21	1600	0.0255	0.7515
0.0047	8.11	1800	0.0277	0.7495
0.0047	9.01	2000	0.0263	0.7467
0.0047	9.91	2200	0.0264	0.7493
0.0045	10.81	2400	0.0267	0.7550
0.0045	11.71	2600	0.0275	0.7497
0.0043	12.61	2800	0.0282	0.7499
0.0043	13.51	3000	0.0267	0.7508
0.004	14.41	3200	0.0265	0.7502
0.004	15.32	3400	0.0258	0.7501
0.0038	16.22	3600	0.0266	0.7519
0.0038	17.12	3800	0.0261	0.7522
0.0037	18.02	4000	0.0259	0.7521

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2