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glm-roberta-large-finetune-p2 – AI Model by cammy | AlphaNeural AI
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glm-roberta-large-finetune-p2
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transformers
pytorch
tensorboard
glm
text2text-generation
generated_from_trainer
custom_code
us
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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
