xlm-roberta-base_lr0.0001_seed42_basic_original_esp-kin-eng_train – AI Model by shanhy | AlphaNeural AI

You can deploy this model and start earning money today!

shanhy/
xlm-roberta-base_lr0.0001_seed42_basic_original_esp-kin-eng_train

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base_lr0.0001_seed42_basic_original_esp-kin-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: 0.0394
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	1.63	200	0.0478	0.0585
0.059	3.27	400	0.0393	0.0110
0.0534	4.9	600	0.0413	nan
0.0524	6.53	800	0.0384	nan
0.0517	8.16	1000	0.0424	nan
0.0517	9.8	1200	0.0384	nan
0.0509	11.43	1400	0.0467	nan
0.0511	13.06	1600	0.0404	nan
0.0505	14.69	1800	0.0392	-0.0320
0.05	16.33	2000	0.0382	-0.0245
0.05	17.96	2200	0.0395	nan
0.0498	19.59	2400	0.0389	-0.0672
0.0498	21.22	2600	0.0384	-0.0760
0.05	22.86	2800	0.0399	nan
0.0492	24.49	3000	0.0387	nan
0.0493	26.12	3200	0.0385	nan
0.0493	27.76	3400	0.0392	nan
0.0491	29.39	3600	0.0394	nan

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2