xlm-roberta-base_amh_corr_0.0001 – AI Model by Shijia | AlphaNeural AI

You can deploy this model and start earning money today!

Shijia/
xlm-roberta-base_amh_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_amh_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: 0.0466
Spearman Corr: 0.0096

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	0.9	200	0.0461	nan
No log	1.81	400	0.0467	nan
0.051	2.71	600	0.0464	-0.0412
0.051	3.62	800	0.0462	0.0202
0.0506	4.52	1000	0.0469	nan
0.0506	5.43	1200	0.0462	-0.0169
0.0498	6.33	1400	0.0469	nan
0.0498	7.24	1600	0.0462	nan
0.0499	8.14	1800	0.0466	0.0096

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2