finetuning-sentiment-model-bert-base-25000-samples – AI Model by choidf | AlphaNeural AI

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choidf/
finetuning-sentiment-model-bert-base-25000-samples

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text-classification

generated_from_trainer

choidf/finetuning-sentiment-model-bert-base-25000-samples

autotrain_compatible

endpoints_compatible

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finetuning-sentiment-model-bert-base-25000-samples

This model is a fine-tuned version of choidf/finetuning-sentiment-model-bert-base-25000-samples on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.5129
Accuracy: 0.9308
F1: 0.9325

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: 16
eval_batch_size: 16
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
0.0535	1.0	1407	0.4188	0.9224	0.9222
0.0324	2.0	2814	0.4382	0.928	0.9288
0.0201	3.0	4221	0.4542	0.928	0.9308
0.0202	4.0	5628	0.4747	0.9296	0.9321
0.0057	5.0	7035	0.5129	0.9308	0.9325

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1