kaustavbhattacharjee's picture
Update README.md
d5d1501 verified
metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuning-DistillBERT-3000-samples
    results: []
datasets:
  - imdb
pipeline_tag: text-classification

finetuning-DistillBERT-3000-samples

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

  • Loss: 0.3396
  • Accuracy: 0.87
  • F1: 0.8730

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2