README.md

metadata

library_name: transformers
tags:
  - generated_from_trainer
datasets:
  - gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5
metrics:
  - accuracy
model-index:
  - name: bert_tiny_lda_5_v1
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5
          type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.16143611762379595

bert_tiny_lda_5_v1

This model is a fine-tuned version of on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-5 dataset. It achieves the following results on the evaluation set:

• Loss: 7.2608
• Accuracy: 0.1614

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
7.735	6.9979	10000	7.6688	0.1533
7.3886	13.9958	20000	7.3523	0.1552
7.31	20.9937	30000	7.3179	0.1558

Framework versions

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