recipe-roberta-is

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

• Loss: 0.8382

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: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.334	1.0	961	1.1217
1.1638	2.0	1922	1.0369
1.0936	3.0	2883	0.9922
1.0503	4.0	3844	0.9606
1.0188	5.0	4805	0.9314
0.9953	6.0	5766	0.9256
0.9769	7.0	6727	0.9109
0.9599	8.0	7688	0.8978
0.9461	9.0	8649	0.8813
0.9377	10.0	9610	0.8777
0.9253	11.0	10571	0.8755
0.918	12.0	11532	0.8601
0.9112	13.0	12493	0.8541
0.9043	14.0	13454	0.8548
0.8984	15.0	14415	0.8470
0.8958	16.0	15376	0.8412
0.8914	17.0	16337	0.8345
0.8882	18.0	17298	0.8353
0.8871	19.0	18259	0.8344
0.8839	20.0	19220	0.8382

Framework versions

• Transformers 4.19.0.dev0
• Pytorch 1.11.0+cu102
• Datasets 2.3.2
• Tokenizers 0.12.1