README.md

metadata

library_name: transformers
language:
  - en
base_model: gokulsrinivasagan/bert_tiny_lda_50_v1_book
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: bert_tiny_lda_50_v1_book_wnli
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE WNLI
          type: glue
          args: wnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5633802816901409

bert_tiny_lda_50_v1_book_wnli

This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_50_v1_book on the GLUE WNLI dataset. It achieves the following results on the evaluation set:

• Loss: 0.6965
• Accuracy: 0.5634

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: 5e-05
• train_batch_size: 256
• eval_batch_size: 256
• 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
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7018	1.0	3	0.6965	0.5634
0.6999	2.0	6	0.7075	0.3944
0.6971	3.0	9	0.7253	0.4225
0.6921	4.0	12	0.7110	0.4225
0.6941	5.0	15	0.7165	0.3944
0.689	6.0	18	0.7330	0.3380

Framework versions

• Transformers 4.46.3
• Pytorch 2.2.1+cu118
• Datasets 2.17.0
• Tokenizers 0.20.3