bert-base-uncased-2-finetuned-RRamicus – AI Model by repro-rights-amicus-briefs | AlphaNeural AI

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bert-base-uncased-2-finetuned-RRamicus

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bert-base-uncased-2-finetuned-RRamicus

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: 1.4784

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: 8
eval_batch_size: 8
seed: 928
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.0341	1.0	1113	1.7515
1.7881	2.0	2226	1.6616
1.697	3.0	3339	1.6061
1.6328	4.0	4452	1.5662
1.5919	5.0	5565	1.5362
1.5602	6.0	6678	1.5193
1.5221	7.0	7791	1.4984
1.5135	8.0	8904	1.4898
1.4917	9.0	10017	1.4755
1.4859	10.0	11130	1.4671

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1