xlm-roberta-base_hin_loss_0.0001 – AI Model by Shijia | AlphaNeural AI

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Shijia/
xlm-roberta-base_hin_loss_0.0001

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base_hin_loss_0.0001

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: 0.0463
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
No log	0.85	200	0.0463	nan
No log	1.69	400	0.0469	-0.0376
0.0475	2.54	600	0.0471	nan
0.0475	3.38	800	0.0462	nan
0.0477	4.23	1000	0.0467	nan
0.0477	5.07	1200	0.0462	nan
0.0477	5.92	1400	0.0467	nan
0.0478	6.77	1600	0.0471	nan
0.0478	7.61	1800	0.0463	nan

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2