metadata

library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
  - generated_from_trainer
datasets:
  - gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
metrics:
  - accuracy
model-index:
  - name: bert_base_train_book_ent_15p_s_init
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
          type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.0622780142613128

bert_base_train_book_ent_15p_s_init

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

Loss: 6.9738
Accuracy: 0.0623

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 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
7.1672	6.9979	10000	7.0338	0.0591
7.166	13.9958	20000	7.1009	0.0574
7.1661	20.9937	30000	6.9738	0.0623

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1