bert-base-uncased-issues-128

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: 1.2432

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
2.0987	1.0	291	1.6066
1.631	2.0	582	1.4775
1.4933	3.0	873	1.4646
1.3984	4.0	1164	1.3314
1.3377	5.0	1455	1.3122
1.274	6.0	1746	1.2062
1.2538	7.0	2037	1.2626
1.192	8.0	2328	1.1832
1.1612	9.0	2619	1.2055
1.1489	10.0	2910	1.1605
1.1262	11.0	3201	1.1925
1.1022	12.0	3492	1.1309
1.0892	13.0	3783	1.1692
1.0812	14.0	4074	1.2384
1.0666	15.0	4365	1.0822
1.0533	16.0	4656	1.2432

Framework versions

• Transformers 4.13.0
• Pytorch 1.10.0
• Datasets 2.2.2
• Tokenizers 0.10.3