20240320095547_happy_medved – AI Model by adasgaleus | AlphaNeural AI

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adasgaleus/
20240320095547_happy_medved

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token-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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20240320095547_happy_medved

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

Loss: 0.0366
Precision: 0.9634
Recall: 0.9592
F1: 0.9613
Accuracy: 0.9850

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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 69
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 350
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0894	0.09	300	0.0732	0.9319	0.9209	0.9263	0.9714
0.1021	0.18	600	0.0798	0.9288	0.9110	0.9198	0.9688
0.0928	0.26	900	0.0725	0.9298	0.9244	0.9271	0.9714
0.0869	0.35	1200	0.0684	0.9348	0.9276	0.9312	0.9731
0.0772	0.44	1500	0.0629	0.9440	0.9240	0.9339	0.9748
0.0675	0.53	1800	0.0543	0.9460	0.9418	0.9439	0.9783
0.0622	0.61	2100	0.0499	0.9480	0.9483	0.9482	0.9797
0.0558	0.7	2400	0.0471	0.9576	0.9455	0.9515	0.9813
0.0511	0.79	2700	0.0422	0.9607	0.9496	0.9551	0.9829
0.0471	0.88	3000	0.0390	0.9631	0.9538	0.9584	0.9841
0.0444	0.96	3300	0.0366	0.9634	0.9592	0.9613	0.9850

Framework versions

Transformers 4.38.2
Pytorch 2.2.0a0+6a974be
Datasets 2.18.0
Tokenizers 0.15.2