xlm-roberta-base_hau_corr_5e-06 – AI Model by Shijia | AlphaNeural AI

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Shijia/
xlm-roberta-base_hau_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_hau_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: 0.0237
Spearman Corr: 0.7615

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	0.95	200	0.0254	0.7574
No log	1.91	400	0.0249	0.7595
0.0025	2.86	600	0.0243	0.7626
0.0025	3.82	800	0.0251	0.7601
0.0023	4.77	1000	0.0241	0.7589
0.0023	5.73	1200	0.0236	0.7597
0.0023	6.68	1400	0.0243	0.7610
0.0023	7.64	1600	0.0251	0.7637
0.0022	8.59	1800	0.0251	0.7599
0.0022	9.55	2000	0.0255	0.7603
0.0021	10.5	2200	0.0252	0.7606
0.0021	11.46	2400	0.0244	0.7628
0.002	12.41	2600	0.0257	0.7644
0.002	13.37	2800	0.0250	0.7610
0.002	14.32	3000	0.0254	0.7600
0.002	15.27	3200	0.0250	0.7618
0.0019	16.23	3400	0.0249	0.7617
0.0019	17.18	3600	0.0247	0.7602
0.0019	18.14	3800	0.0245	0.7624
0.0019	19.09	4000	0.0244	0.7639
0.0018	20.05	4200	0.0237	0.7615

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2