metadata

license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: bert-finetuned-imdb-sentiment
    results:
      - task:
          type: text-classification
        dataset:
          type: imdb
          name: imdb
          split: test
        metrics:
          - name: f1
            type: f1
            value: 0.888
            verified: false
datasets:
  - imdb

bert-finetuned-imdb-sentiment

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

Loss: 0.3405
F1: 0.9171

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2966	1.0	3125	0.2795	0.8854
0.1681	2.0	6250	0.2801	0.9118
0.0724	3.0	9375	0.3405	0.9171

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1