finetuned-base_small – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
finetuned-base_small

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text-classification

generated_from_trainer

autotrain_compatible

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finetuned-base_small

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.3962
Accuracy: 0.8942
F1: 0.9441

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: 32
eval_batch_size: 32
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
0.3459	0.64	500	0.1283	0.9505	0.9746
0.2389	1.28	1000	0.1054	0.9595	0.9793
0.1927	1.92	1500	0.1447	0.9457	0.9721
0.1408	2.56	2000	0.1261	0.9594	0.9793
0.1168	3.2	2500	0.3962	0.8942	0.9441

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2