N_bert_sst5_padding80model

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: 4.1055
• Accuracy: 0.5335

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3295	1.0	534	1.2788	0.4231
1.0046	2.0	1068	1.1005	0.5362
0.7632	3.0	1602	1.1567	0.5357
0.588	4.0	2136	1.4030	0.5308
0.4198	5.0	2670	1.6242	0.5244
0.3036	6.0	3204	1.8412	0.5385
0.222	7.0	3738	2.2298	0.5299
0.1677	8.0	4272	2.4165	0.5376
0.1407	9.0	4806	2.7191	0.5285
0.1199	10.0	5340	3.1297	0.5226
0.0916	11.0	5874	3.3297	0.5466
0.0716	12.0	6408	3.4776	0.5385
0.0717	13.0	6942	3.6198	0.5339
0.047	14.0	7476	3.7826	0.5376
0.0322	15.0	8010	3.8744	0.5294
0.0268	16.0	8544	4.0318	0.5145
0.0204	17.0	9078	4.0118	0.5380
0.0201	18.0	9612	4.0902	0.5308
0.0149	19.0	10146	4.0749	0.5357
0.012	20.0	10680	4.1055	0.5335

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.3