xlm-roberta-base_arq_corr_0.0001 – AI Model by Shijia | AlphaNeural AI

You can deploy this model and start earning money today!

Shijia/
xlm-roberta-base_arq_corr_0.0001

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base_arq_corr_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: 0.0479
Spearman Corr: -0.0057

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	0.92	200	0.0485	-0.0421
No log	1.84	400	0.0502	-0.0266
0.0509	2.76	600	0.0490	nan
0.0509	3.69	800	0.0488	0.0061
0.0505	4.61	1000	0.0462	nan
0.0505	5.53	1200	0.0462	nan
0.0504	6.45	1400	0.0466	nan
0.0504	7.37	1600	0.0484	nan
0.0502	8.29	1800	0.0472	-0.0042
0.0502	9.22	2000	0.0489	nan
0.05	10.14	2200	0.0476	-0.0258
0.05	11.06	2400	0.0479	-0.0057

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2