glm-roberta-large-finetune-p2

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

• Loss: nan

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-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0	1.0	4774	nan

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu116
• Datasets 2.7.0
• Tokenizers 0.13.2