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muhtasham/
finetuned-base_base

Name: finetuned-base_base
Availability: InStock

generated_from_trainer

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finetuned-base_base

This model is a fine-tuned version of google/bert_uncased_L-12_H-768_A-12 on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.3594
Accuracy: 0.9094
F1: 0.9525

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: 3e-05
train_batch_size: 50
eval_batch_size: 50
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2414	1.0	500	0.1796	0.9343	0.9660
0.1235	2.0	1000	0.2042	0.9311	0.9643
0.0633	3.0	1500	0.3590	0.8997	0.9472
0.0398	4.0	2000	0.3594	0.9094	0.9525

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

muhtasham/finetuned-base_base

finetuned-base_base

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
finetuned-base_base