tinybert_base_train_book_ent_15p_s_init_kd_complete

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: 102.6946
Accuracy: 0.0678

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
476.1804	4.1982	10000	487.3371	0.0019
187.4831	8.3963	20000	177.2452	0.0604
138.1048	12.5945	30000	127.5909	0.0661
120.8144	16.7926	40000	110.4267	0.0687
113.2977	20.9908	50000	102.6946	0.0678

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1

Downloads last month: 2

Safetensors

Model size

28.8M params

Tensor type

F32

Model tree for gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete

Base model

google/bert_uncased_L-4_H-512_A-8

Finetuned

(26)

this model

Finetunes

9 models

Dataset used to train gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete

Evaluation results

Accuracy on gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
self-reported

0.068