This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_50 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

Loss: 2.2554
Pearson: nan
Spearmanr: nan
Combined Score: 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: 0.001
train_batch_size: 256
eval_batch_size: 256
seed: 10
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
7.4379	1.0	23	2.2958	nan	nan	nan
2.2336	2.0	46	2.4634	-0.0182	-0.0182	-0.0182
2.2061	3.0	69	2.3265	nan	nan	nan
2.1991	4.0	92	2.3547	nan	nan	nan
2.1656	5.0	115	2.2554	nan	nan	nan
2.2136	6.0	138	2.3354	nan	nan	nan
2.2177	7.0	161	2.9542	nan	nan	nan
2.2678	8.0	184	2.3102	0.0282	0.0307	0.0294
2.1863	9.0	207	2.2834	nan	nan	nan
2.1761	10.0	230	2.2834	nan	nan	nan

Framework versions

Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3

gokulsrinivasagan/bert_base_lda_50_stsb

bert_base_lda_50_stsb

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokulsrinivasagan/
bert_base_lda_50_stsb