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Modelo-Treinado-GLM-4-9B-Numerico – AI Model by alexiaassis | AlphaNeural AI
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Modelo-Treinado-GLM-4-9B-Numerico
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glm-treinado
This model is a fine-tuned version of
zai-org/glm-4-9b-chat-hf
on the train_num2 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
label_smoothing_factor: 0.1
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.11.0.dev20260208+cu128
Datasets 4.0.0
Tokenizers 0.22.2
