metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuned-base_small_db
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: imdb
          type: imdb
          config: plain_text
          split: train
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.93512
          - name: F1
            type: f1
            value: 0.9664723634709991

finetuned-base_small_db

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.2838
Accuracy: 0.9351
F1: 0.9665

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: 3e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2743	2.55	500	0.1548	0.9408	0.9695
0.1227	5.1	1000	0.2545	0.9206	0.9586
0.0569	7.65	1500	0.4467	0.8902	0.9419
0.0316	10.2	2000	0.2838	0.9351	0.9665

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2