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BRlkl/
BingoGuard-bert-large-base-plus-custom

Name: BingoGuard-bert-large-base-plus-custom
Availability: InStock

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BingoGuard-bert-large-base-plus-custom

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

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3266	1.0	67	0.2604	0.8979	0.8970
0.2215	2.0	134	0.2803	0.8851	0.8831
0.096	3.0	201	0.3214	0.8894	0.8874
0.0439	4.0	268	0.4621	0.8915	0.8903
0.0324	5.0	335	0.5207	0.8936	0.8913
0.0119	6.0	402	0.5807	0.8915	0.8884
0.0076	7.0	469	0.5984	0.8936	0.8913
0.0032	8.0	536	0.6046	0.8915	0.8884