metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
model-index:
  - name: N_distilbert_imdb_padding60model
    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: 0.93268

N_distilbert_imdb_padding60model

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: 0.7224
Accuracy: 0.9327

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
0.2346	1.0	1563	0.2252	0.916
0.1742	2.0	3126	0.2406	0.9204
0.1246	3.0	4689	0.3171	0.9224
0.0738	4.0	6252	0.3747	0.9245
0.0507	5.0	7815	0.4165	0.9278
0.0327	6.0	9378	0.5113	0.9248
0.0218	7.0	10941	0.5063	0.9210
0.0221	8.0	12504	0.5326	0.9279
0.0231	9.0	14067	0.5171	0.9279
0.0111	10.0	15630	0.6266	0.9275
0.0096	11.0	17193	0.6049	0.9255
0.0092	12.0	18756	0.6766	0.9237
0.0079	13.0	20319	0.6736	0.9273
0.0082	14.0	21882	0.6786	0.9296
0.0047	15.0	23445	0.6562	0.9298
0.003	16.0	25008	0.6903	0.9301
0.0028	17.0	26571	0.7158	0.9291
0.0	18.0	28134	0.7324	0.9321
0.0	19.0	29697	0.7185	0.9325
0.0003	20.0	31260	0.7224	0.9327

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3