README.md

metadata

library_name: transformers
tags:
  - generated_from_trainer
datasets:
  - gokulsrinivasagan/processed_wikitext-103-raw-v1-ld
metrics:
  - accuracy
model-index:
  - name: bert_base_lda_5
    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: 0.15691925185059616

bert_base_lda_5

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

• Loss: 7.7638
• Accuracy: 0.1569

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 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
8.119	4.1982	10000	8.0630	0.1507
7.8867	8.3963	20000	7.8947	0.1528
7.7972	12.5945	30000	7.8400	0.1549
7.7373	16.7926	40000	7.8243	0.1532
7.7031	20.9908	50000	7.8085	0.1531

Framework versions

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