This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_5 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

Loss: 2.2504
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
3.8631	1.0	23	2.2504	nan	nan	nan
2.1956	2.0	46	2.3759	nan	nan	nan
2.2328	3.0	69	2.2526	nan	nan	nan
2.2707	4.0	92	2.4113	nan	nan	nan
2.2144	5.0	115	2.6187	-0.0129	-0.0153	-0.0141
2.1942	6.0	138	2.3527	0.0151	0.0163	0.0157

Framework versions

Transformers 4.46.3
Pytorch 2.2.1+cu118
Datasets 2.17.0
Tokenizers 0.20.3

gokulsrinivasagan/distilbert_lda_5_stsb

distilbert_lda_5_stsb

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokulsrinivasagan/
distilbert_lda_5_stsb