xlm-roberta-base_seed42_eng_train – AI Model by shanhy | AlphaNeural AI

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shanhy/
xlm-roberta-base_seed42_eng_train

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base_seed42_eng_train

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

Loss: 0.0170
Spearman Corr: 0.8303

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: 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
0.051	2.58	200	0.0186	0.8190
0.0202	5.16	400	0.0151	0.8305
0.015	7.74	600	0.0151	0.8354
0.0092	10.32	800	0.0179	0.8298
0.0078	12.9	1000	0.0187	0.8308
0.0064	15.48	1200	0.0201	0.8314
0.0051	18.06	1400	0.0168	0.8287
0.0045	20.65	1600	0.0196	0.8277
0.0042	23.23	1800	0.0205	0.8314
0.0038	25.81	2000	0.0170	0.8303

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1