praise_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: 0.8441

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
0.9702	1.0	216	0.9216
0.8694	2.0	432	0.8458
0.7711	3.0	648	0.8441
0.663	4.0	864	0.8691
0.4732	5.0	1080	0.9751

Framework versions

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