distilbert-base-uncased-finetuned-imdb – AI Model by matthewbk | AlphaNeural AI

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matthewbk/
distilbert-base-uncased-finetuned-imdb

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distilbert/distilbert-base-uncased

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distilbert-base-uncased-finetuned-imdb

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

Loss: 3.1496

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.2183	1.0	157	3.2345
3.2248	2.0	314	3.2284
3.2534	3.0	471	3.2132
3.2409	4.0	628	3.1850
3.2193	5.0	785	3.2069
3.1894	6.0	942	3.2082
3.1899	7.0	1099	3.1609
3.1806	8.0	1256	3.1664
3.157	9.0	1413	3.1484
3.1658	10.0	1570	3.1496

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1