bert_tiny_lda_100_v1

This model is a fine-tuned version of on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100 dataset. It achieves the following results on the evaluation set:

• Loss: 7.8078
• Accuracy: 0.3677

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: 0.0001
• train_batch_size: 160
• eval_batch_size: 160
• 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
• lr_scheduler_warmup_steps: 10000
• num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
10.7151	6.9979	10000	10.6513	0.1546
9.7707	13.9958	20000	9.6190	0.1946
8.0878	20.9937	30000	7.8520	0.3593

Framework versions

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