roberta_intent_ofis

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

• Loss: 0.0013
• Accuracy: 1.0

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-06
• 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
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4951	1.0	127	1.5874	0.4853
0.9597	2.0	254	1.1933	0.6765
0.4618	3.0	381	0.6759	0.8088
0.1725	4.0	508	0.4578	0.8382
0.1115	5.0	635	0.4119	0.8529
0.0968	6.0	762	0.2263	0.9118
0.0392	7.0	889	0.2921	0.8824
0.0279	8.0	1016	0.1238	0.9706
0.0185	9.0	1143	0.1638	0.9559
0.0108	10.0	1270	0.1364	0.9559
0.0213	11.0	1397	0.0774	0.9706
0.2756	12.0	1524	0.0989	0.9706
0.0087	13.0	1651	0.0461	0.9853
0.0069	14.0	1778	0.0301	0.9853
0.0046	15.0	1905	0.0267	0.9853
0.0239	16.0	2032	0.0264	0.9853
0.0041	17.0	2159	0.0293	0.9853
0.0054	18.0	2286	0.0036	1.0
0.0277	19.0	2413	0.0035	1.0
0.2747	20.0	2540	0.0023	1.0
0.0028	21.0	2667	0.0025	1.0
0.0027	22.0	2794	0.0025	1.0
0.003	23.0	2921	0.0033	1.0
0.0024	24.0	3048	0.0017	1.0
0.0048	25.0	3175	0.0025	1.0
0.002	26.0	3302	0.0019	1.0
0.0019	27.0	3429	0.0017	1.0
0.0021	28.0	3556	0.0014	1.0
0.0023	29.0	3683	0.0014	1.0
0.002	30.0	3810	0.0013	1.0

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2