README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
model-index:
  - name: bert-base-uncased-finetuned-imdb
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: imdb
          type: imdb
          args: plain_text

bert-base-uncased-finetuned-imdb

This model is a fine-tuned version of bert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:

• Loss: 2.0284

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.2244	1.0	958	2.0726
2.1537	2.0	1916	2.0381
2.1183	3.0	2874	2.0284

Framework versions

• Transformers 4.10.3
• Pytorch 1.9.1+cu111
• Datasets 1.12.1
• Tokenizers 0.10.3