This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld dataset. It achieves the following results on the evaluation set:

Loss: 105.8526
Accuracy: 0.0738

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: 96
eval_batch_size: 96
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
lr_scheduler_warmup_steps: 10000
num_epochs: 24

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
471.4998	4.1982	10000	480.2915	0.0026
191.4094	8.3963	20000	186.4382	0.0647
141.2722	12.5945	30000	130.5471	0.0694
123.131	16.7926	40000	113.4914	0.0719
115.2744	20.9908	50000	105.8526	0.0738

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1

gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_a_in

tinybert_base_train_book_ent_15p_s_init_kd_a_in

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokulsrinivasagan/
tinybert_base_train_book_ent_15p_s_init_kd_a_in