xlm-roberta-base_seed42_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_seed42_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_seed42_original_esp-kin-eng_train

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0235
Spearman Corr: 0.7836

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: 2e-05
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	1.81	200	0.0349	0.7407
0.045	3.62	400	0.0210	0.7900
0.0216	5.43	600	0.0227	0.7937
0.0164	7.24	800	0.0223	0.7939
0.0127	9.05	1000	0.0217	0.7902
0.01	10.86	1200	0.0189	0.7783
0.0084	12.67	1400	0.0188	0.7834
0.0068	14.48	1600	0.0228	0.7834
0.0057	16.29	1800	0.0222	0.7867
0.005	18.1	2000	0.0255	0.7847
0.0045	19.91	2200	0.0216	0.7842
0.0045	21.72	2400	0.0219	0.7866
0.0041	23.53	2600	0.0209	0.7850
0.0038	25.34	2800	0.0235	0.7836

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1