metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
model-index:
  - name: N_distilbert_imdb_padding40model
    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: 0.93052

N_distilbert_imdb_padding40model

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: 0.7640
Accuracy: 0.9305

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
0.2367	1.0	1563	0.3081	0.8873
0.18	2.0	3126	0.2079	0.9299
0.1146	3.0	4689	0.3326	0.9227
0.0688	4.0	6252	0.3477	0.9238
0.0389	5.0	7815	0.4432	0.9256
0.0338	6.0	9378	0.4389	0.9252
0.0269	7.0	10941	0.4876	0.9254
0.0146	8.0	12504	0.5673	0.9272
0.0178	9.0	14067	0.5712	0.9249
0.0108	10.0	15630	0.5723	0.9303
0.0137	11.0	17193	0.5582	0.9289
0.0104	12.0	18756	0.6285	0.9303
0.0071	13.0	20319	0.6775	0.9296
0.0057	14.0	21882	0.7206	0.9262
0.0067	15.0	23445	0.7085	0.929
0.0055	16.0	25008	0.7183	0.9296
0.0027	17.0	26571	0.7296	0.9299
0.0005	18.0	28134	0.7465	0.9313
0.0004	19.0	29697	0.7610	0.9309
0.0	20.0	31260	0.7640	0.9305

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3