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glm2-finetune – AI Model by ishanjmukherjee | AlphaNeural AI
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glm2-finetune
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transformers
safetensors
gLM2
fill-mask
generated_from_trainer
custom_code
tattabio/gLM2_650M
finetune
apache-2.0
autotrain_compatible
us
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gLM2-is110-finetune
This model is a fine-tuned version of
tattabio/gLM2_650M
on an unknown dataset.
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 3
total_train_batch_size: 6
total_eval_batch_size: 6
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.1
Tokenizers 0.21.1
