bert-base-cased-coffee20230113

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

• Loss: 5.1553

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	88	4.3261
5.3354	2.0	176	2.8499
3.0455	3.0	264	2.3299
1.9373	4.0	352	2.5522
1.2186	5.0	440	3.1720
0.8601	6.0	528	3.0420
0.6784	7.0	616	3.4801
0.4319	8.0	704	3.7463
0.4319	9.0	792	4.1014
0.3164	10.0	880	4.2563
0.2039	11.0	968	4.4461
0.1202	12.0	1056	4.8725
0.0491	13.0	1144	4.7507
0.031	14.0	1232	5.1064
0.0133	15.0	1320	5.1553

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0+cu113
• Datasets 2.8.0
• Tokenizers 0.13.2