tiny-mlm-glue-stsb-target-glue-stsb – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
tiny-mlm-glue-stsb-target-glue-stsb

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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tiny-mlm-glue-stsb-target-glue-stsb

This model is a fine-tuned version of muhtasham/tiny-mlm-glue-stsb on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9825
Pearson: 0.8061
Spearmanr: 0.8043

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr
3.5377	2.78	500	1.3011	0.6728	0.6791
1.1922	5.56	1000	1.1395	0.7537	0.7804
0.8417	8.33	1500	0.9970	0.7940	0.8066
0.6813	11.11	2000	0.8608	0.8097	0.8125
0.5633	13.89	2500	0.8698	0.8122	0.8111
0.4986	16.67	3000	0.9720	0.8120	0.8145
0.4365	19.44	3500	0.8846	0.8128	0.8114
0.3969	22.22	4000	0.9115	0.8139	0.8118
0.3544	25.0	4500	0.9530	0.8139	0.8116
0.3379	27.78	5000	0.9940	0.8096	0.8094
0.3146	30.56	5500	0.9590	0.8092	0.8090
0.2881	33.33	6000	0.9825	0.8061	0.8043

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2