bert_base_lda_20_stsb

This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_20 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• Loss: 2.2526
• 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
9.4335	1.0	23	2.2526	nan	nan	nan
2.2333	2.0	46	2.8292	nan	nan	nan
2.1968	3.0	69	2.3181	nan	nan	nan
2.2109	4.0	92	2.6546	nan	nan	nan
2.194	5.0	115	2.5441	nan	nan	nan
2.2044	6.0	138	2.3650	nan	nan	nan

Framework versions

• Transformers 4.46.3
• Pytorch 2.2.1+cu118
• Datasets 2.17.0
• Tokenizers 0.20.3