xlm-roberta-base_lr0.0001_seed42_esp-hau-eng_train – AI Model by shanhy | AlphaNeural AI

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shanhy/
xlm-roberta-base_lr0.0001_seed42_esp-hau-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_esp-hau-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: 0.0448
Spearman Corr: 0.0131

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
No log	0.48	200	0.0477	-0.0197
No log	0.97	400	0.0448	0.0232
No log	1.45	600	0.0448	nan
No log	1.94	800	0.0457	0.0963
0.0612	2.42	1000	0.0449	0.0482
0.0612	2.91	1200	0.0451	-0.0094
0.0612	3.39	1400	0.0448	0.0468
0.0612	3.88	1600	0.0453	-0.0037
0.0566	4.36	1800	0.0449	0.1078
0.0566	4.85	2000	0.0449	0.0924
0.0566	5.33	2200	0.0454	0.1803
0.0566	5.82	2400	0.0448	0.0131

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2