distilbert-base-uncased-imdb – AI Model by dfurman | AlphaNeural AI

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dfurman/
distilbert-base-uncased-imdb

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text-classification

generated_from_trainer

stanfordnlp/imdb

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-imdb

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

Loss: 0.4367
Accuracy: 0.9327
F1: 0.9336
Precision: 0.9212
Recall: 0.9463

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.2601	1.0	3125	0.3550	0.8857	0.8744	0.9709	0.7953
0.1842	2.0	6250	0.2355	0.9327	0.9327	0.9328	0.9326
0.1191	3.0	9375	0.3287	0.9311	0.9303	0.9417	0.9191
0.0452	4.0	12500	0.4053	0.9331	0.9337	0.9256	0.942
0.0299	5.0	15625	0.4367	0.9327	0.9336	0.9212	0.9463

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2