bert-large-cased-sigir-support-no-label-20 – AI Model by jojoUla | AlphaNeural AI

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jojoUla/
bert-large-cased-sigir-support-no-label-20

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bert-large-cased-sigir-support-no-label-20

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

Loss: 1.2135

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: 4e-05
train_batch_size: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7629	1.0	246	2.2876
2.2004	2.0	492	1.9698
1.9011	3.0	738	1.8034
1.7521	4.0	984	1.7313
1.6405	5.0	1230	1.6195
1.553	6.0	1476	1.5437
1.4707	7.0	1722	1.5072
1.398	8.0	1968	1.4477
1.3563	9.0	2214	1.4426
1.3085	10.0	2460	1.4250
1.2678	11.0	2706	1.3580
1.2255	12.0	2952	1.3553
1.1901	13.0	3198	1.3094
1.1656	14.0	3444	1.2731
1.1371	15.0	3690	1.3012
1.1131	16.0	3936	1.2850
1.0945	17.0	4182	1.2473
1.0774	18.0	4428	1.2770
1.0531	19.0	4674	1.2285
1.0608	20.0	4920	1.2645

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2