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: 1.1757

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
2.1096	1.0	291	1.6956
1.6336	2.0	582	1.3877
1.4774	3.0	873	1.4229
1.3956	4.0	1164	1.4310
1.347	5.0	1455	1.2802
1.2864	6.0	1746	1.3044
1.2343	7.0	2037	1.2141
1.2093	8.0	2328	1.2702
1.1787	9.0	2619	1.2570
1.1472	10.0	2910	1.2213
1.1252	11.0	3201	1.2644
1.1009	12.0	3492	1.1499
1.0927	13.0	3783	1.1585
1.0767	14.0	4074	1.0674
1.0656	15.0	4365	1.2489
1.0671	16.0	4656	1.1757

Framework versions

• Transformers 4.34.1
• Pytorch 2.6.0+cu118
• Datasets 2.14.7
• Tokenizers 0.14.1