Novel_Genre_Classification_bert-finetuned

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4720
• F1: 0.5474
• Roc Auc: 0.6950
• Accuracy: 0.4906

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.5711	1.0	40	0.5745	0.0	0.5	0.0
0.5629	2.0	80	0.5789	0.0	0.5	0.0
0.5364	3.0	120	0.5439	0.0	0.5	0.0
0.4734	4.0	160	0.5813	0.1644	0.5126	0.0377
0.3793	5.0	200	0.4709	0.5116	0.6730	0.4151
0.2771	6.0	240	0.4720	0.5474	0.6950	0.4906
0.2473	7.0	280	0.5489	0.4694	0.6478	0.4340
0.1499	8.0	320	0.5645	0.5143	0.6761	0.4717
0.1041	9.0	360	0.6179	0.4600	0.6415	0.4340
0.0644	10.0	400	0.6355	0.5098	0.6730	0.4906
0.0462	11.0	440	0.7175	0.4808	0.6541	0.4717
0.0366	12.0	480	0.7688	0.4717	0.6478	0.4528
0.0321	13.0	520	0.7665	0.4854	0.6572	0.4717
0.0278	14.0	560	0.7572	0.4762	0.6509	0.4528
0.0253	15.0	600	0.7946	0.4615	0.6415	0.4528
0.0232	16.0	640	0.8142	0.4615	0.6415	0.4528
0.0218	17.0	680	0.8370	0.4706	0.6478	0.4528
0.02	18.0	720	0.8390	0.4615	0.6415	0.4528
0.019	19.0	760	0.8148	0.4808	0.6541	0.4717
0.0185	20.0	800	0.8482	0.4571	0.6384	0.4340
0.0177	21.0	840	0.8714	0.4660	0.6447	0.4528
0.0175	22.0	880	0.8810	0.4660	0.6447	0.4528
0.0166	23.0	920	0.8748	0.4660	0.6447	0.4528
0.0165	24.0	960	0.8865	0.4660	0.6447	0.4528
0.0163	25.0	1000	0.8880	0.4660	0.6447	0.4528

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0