metadata

license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
model-index:
  - name: N_roberta_imdb_padding70model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: imdb
          type: imdb
          config: plain_text
          split: test
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.95056

N_roberta_imdb_padding70model

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

Loss: 0.4584
Accuracy: 0.9506

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2111	1.0	1563	0.1864	0.9412
0.1628	2.0	3126	0.1973	0.9474
0.1178	3.0	4689	0.3140	0.9406
0.0745	4.0	6252	0.2698	0.9469
0.057	5.0	7815	0.3568	0.9424
0.0478	6.0	9378	0.3114	0.9477
0.0281	7.0	10941	0.3123	0.9491
0.0269	8.0	12504	0.3732	0.9464
0.0169	9.0	14067	0.4043	0.9466
0.0156	10.0	15630	0.3296	0.9480
0.0186	11.0	17193	0.4413	0.9466
0.015	12.0	18756	0.3944	0.9488
0.0091	13.0	20319	0.4310	0.9481
0.0061	14.0	21882	0.4363	0.9506
0.0073	15.0	23445	0.4315	0.9496
0.003	16.0	25008	0.4623	0.9499
0.0048	17.0	26571	0.4589	0.9494
0.0	18.0	28134	0.4556	0.9504
0.0028	19.0	29697	0.4608	0.9509
0.0013	20.0	31260	0.4584	0.9506

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3