bert-base-uncased-imdb – AI Model by fabriceyhc | AlphaNeural AI

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fabriceyhc/
bert-base-uncased-imdb

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-uncased-imdb

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

Loss: 0.4942
Accuracy: 0.9126

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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1546
training_steps: 15468

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3952	0.65	2000	0.4012	0.86
0.2954	1.29	4000	0.4535	0.892
0.2595	1.94	6000	0.4320	0.892
0.1516	2.59	8000	0.5309	0.896
0.1167	3.23	10000	0.4070	0.928
0.0624	3.88	12000	0.5055	0.908
0.0329	4.52	14000	0.4342	0.92

Framework versions

Transformers 4.10.2
Pytorch 1.7.1
Datasets 1.6.1
Tokenizers 0.10.3