distilbert_lda_5_v1_book_wnli

This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_5_v1_book on the GLUE WNLI dataset. It achieves the following results on the evaluation set:

• Loss: 0.7009
• Accuracy: 0.4930

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: 5e-05
• train_batch_size: 256
• eval_batch_size: 256
• seed: 10
• optimizer: Use OptimizerNames.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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7039	1.0	3	0.7009	0.4930
0.6948	2.0	6	0.7106	0.3662
0.6961	3.0	9	0.7077	0.3662
0.6913	4.0	12	0.7090	0.5211
0.6912	5.0	15	0.7190	0.2535
0.6938	6.0	18	0.7342	0.3099

Framework versions

• Transformers 4.46.1
• Pytorch 2.2.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1