roberta-large-pp-2000-1e-06-8

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

• Loss: 0.6921

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: 1e-06
• train_batch_size: 32
• eval_batch_size: 1024
• 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
No log	1.0	63	0.6917
No log	2.0	126	0.6927
No log	3.0	189	0.6920
0.6995	4.0	252	0.6917
0.6995	5.0	315	0.6916
0.6995	6.0	378	0.6909
0.6922	7.0	441	0.6944
0.6922	8.0	504	0.6918
0.6922	9.0	567	0.6914
0.6906	10.0	630	0.6904
0.6906	11.0	693	0.6960
0.6906	12.0	756	0.6945
0.6869	13.0	819	0.6930
0.6869	14.0	882	0.6970
0.6869	15.0	945	0.6921

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1