xlm-roberta-base_lr0.0001_seed42_basic_eng_train – AI Model by shanhy | AlphaNeural AI

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shanhy/
xlm-roberta-base_lr0.0001_seed42_basic_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_lr0.0001_seed42_basic_eng_train

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: 0.0235
Spearman Corr: nan

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: 0.0001
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
0.0684	2.33	200	0.0235	-0.1233
0.0564	4.65	400	0.0243	nan
0.0545	6.98	600	0.0271	0.1235
0.0539	9.3	800	0.0234	nan
0.0532	11.63	1000	0.0243	-0.0724
0.0533	13.95	1200	0.0233	0.0967
0.0519	16.28	1400	0.0244	0.0055
0.0519	18.6	1600	0.0243	0.0838
0.0515	20.93	1800	0.0233	nan
0.0516	23.26	2000	0.0253	nan
0.0511	25.58	2200	0.0245	-0.0083
0.0503	27.91	2400	0.0235	nan

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2