bert-base-uncased-finetuned-removed-0530 – AI Model by YeRyeongLee | AlphaNeural AI

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YeRyeongLee/
bert-base-uncased-finetuned-removed-0530

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-uncased-finetuned-removed-0530

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

Loss: 1.1269
Accuracy: 0.8745
F1: 0.8745

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	3180	0.5939	0.8113	0.8113
No log	2.0	6360	0.6459	0.8189	0.8183
No log	3.0	9540	0.6523	0.8597	0.8604
No log	4.0	12720	0.8159	0.8522	0.8521
No log	5.0	15900	0.9294	0.8601	0.8599
No log	6.0	19080	1.0066	0.8594	0.8592
No log	7.0	22260	1.0268	0.8686	0.8689
0.2451	8.0	25440	1.0274	0.8758	0.8760
0.2451	9.0	28620	1.0850	0.8726	0.8727
0.2451	10.0	31800	1.1269	0.8745	0.8745

Framework versions

Transformers 4.19.2
Pytorch 1.9.0
Datasets 1.16.1
Tokenizers 0.12.1