bertweet-base-finetuned-filtered-0609 – AI Model by YeRyeongLee | AlphaNeural AI

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YeRyeongLee/
bertweet-base-finetuned-filtered-0609

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bertweet-base-finetuned-filtered-0609

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

Loss: 0.5397
Accuracy: 0.9299
Precision: 0.9297
Recall: 0.9299
F1: 0.9298

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	Precision	Recall	F1
0.331	1.0	3180	0.3687	0.9069	0.9147	0.9069	0.9081
0.2611	2.0	6360	0.3725	0.9223	0.9227	0.9223	0.9224
0.1993	3.0	9540	0.2948	0.9336	0.9350	0.9336	0.9339
0.1648	4.0	12720	0.3563	0.9296	0.9303	0.9296	0.9298
0.1324	5.0	15900	0.4136	0.9267	0.9279	0.9267	0.9270
0.1102	6.0	19080	0.4060	0.9352	0.9357	0.9352	0.9353
0.0568	7.0	22260	0.4653	0.9321	0.9328	0.9321	0.9322
0.0292	8.0	25440	0.4818	0.9311	0.9310	0.9311	0.9310
0.0155	9.0	28620	0.5405	0.9286	0.9288	0.9286	0.9286
0.0095	10.0	31800	0.5397	0.9299	0.9297	0.9299	0.9298

Framework versions

Transformers 4.19.2
Pytorch 1.9.1+cu111
Datasets 1.16.1
Tokenizers 0.12.1