roberta-base-finetuned-wls-manual-7ep

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

• Loss: 1.1744

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
1.8224	0.93	7	1.5284
1.4374	2.0	15	1.3331
1.2988	2.93	22	1.3356
1.2666	4.0	30	1.1919
1.2422	4.93	37	1.1769
1.1804	6.0	45	1.1424
1.1443	6.53	49	1.1581

Framework versions

• Transformers 4.31.0
• Pytorch 1.11.0+cu113
• Datasets 2.14.4
• Tokenizers 0.13.3