recipe-roberta-upper-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: 0.7757

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
1.2455	1.0	1228	1.0420
1.0812	2.0	2456	0.9641
1.018	3.0	3684	0.9220
0.977	4.0	4912	0.8943
0.9451	5.0	6140	0.8726
0.9254	6.0	7368	0.8574
0.9074	7.0	8596	0.8404
0.8944	8.0	9824	0.8290
0.8797	9.0	11052	0.8258
0.869	10.0	12280	0.8115
0.8609	11.0	13508	0.8085
0.8522	12.0	14736	0.7995
0.8462	13.0	15964	0.7958
0.8414	14.0	17192	0.7891
0.8374	15.0	18420	0.7856
0.8327	16.0	19648	0.7850
0.8268	17.0	20876	0.7784
0.8256	18.0	22104	0.7802
0.822	19.0	23332	0.7789
0.8219	20.0	24560	0.7757

Framework versions

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