hw-slots-atis

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

• Loss: 0.0054

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
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4235	1.6	500	0.0911
0.0725	3.21	1000	0.0375
0.0333	4.81	1500	0.0188
0.0211	6.41	2000	0.0108
0.014	8.01	2500	0.0072
0.0101	9.62	3000	0.0066
0.0079	11.22	3500	0.0053
0.0053	12.82	4000	0.0054

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2