door_inner_with_SA-bert-base-uncased – AI Model by Davincilee | AlphaNeural AI

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Davincilee/
door_inner_with_SA-bert-base-uncased

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door_inner_with_SA-bert-base-uncased

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1513

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: 2e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
2.5492	1.0	96	2.3831
2.4031	2.0	192	2.2963
2.3391	3.0	288	2.2000
2.2951	4.0	384	2.2505
2.2151	5.0	480	2.1691
2.2237	6.0	576	2.1855
2.1984	7.0	672	2.2558
2.1749	8.0	768	2.2019
2.1475	9.0	864	2.1310
2.1446	10.0	960	2.1334
2.1374	11.0	1056	2.1909
2.1117	12.0	1152	2.2028

Framework versions

Transformers 4.19.0
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1