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