roberta-large-pp-1000-1e-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: 0.6917

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	32	0.6926
No log	2.0	64	0.6922
No log	3.0	96	0.6919
No log	4.0	128	0.6936
No log	5.0	160	0.6920
No log	6.0	192	0.6917
0.694	7.0	224	0.6928
0.694	8.0	256	0.6918
0.694	9.0	288	0.6921
0.694	10.0	320	0.6923
0.694	11.0	352	0.6917

Framework versions

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