greetName_1021_new

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

• Loss: 0.5919

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: 5e-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
• lr_scheduler_warmup_steps: 500
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.6981	1.0	216	0.6809
0.6879	2.0	432	0.7823
0.6686	3.0	648	0.6350
0.5302	4.0	864	0.5919
0.3656	5.0	1080	0.6856

Framework versions

• Transformers 4.44.0
• Pytorch 2.3.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1