metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
datasets:
  - ag_news
metrics:
  - accuracy
model-index:
  - name: N_distilbert_agnews_padding100model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: ag_news
          type: ag_news
          config: default
          split: test
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9452631578947368

N_distilbert_agnews_padding100model

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

Loss: 0.6461
Accuracy: 0.9453

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
0.1812	1.0	7500	0.1853	0.9424
0.1417	2.0	15000	0.1940	0.9437
0.1201	3.0	22500	0.2239	0.9425
0.0895	4.0	30000	0.2896	0.9422
0.0604	5.0	37500	0.2957	0.9401
0.0471	6.0	45000	0.3845	0.9389
0.032	7.0	52500	0.4266	0.9393
0.0284	8.0	60000	0.4621	0.9420
0.0211	9.0	67500	0.4691	0.9384
0.0158	10.0	75000	0.4800	0.9417
0.0179	11.0	82500	0.5048	0.9422
0.0105	12.0	90000	0.4962	0.9453
0.0102	13.0	97500	0.5280	0.9437
0.0039	14.0	105000	0.5401	0.9442
0.0037	15.0	112500	0.5675	0.9441
0.0052	16.0	120000	0.5934	0.9454
0.003	17.0	127500	0.6308	0.9426
0.0014	18.0	135000	0.6194	0.9436
0.0007	19.0	142500	0.6454	0.945
0.0004	20.0	150000	0.6461	0.9453

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3