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CPT_data – AI Model by minhquy | AlphaNeural AI | AlphaNeural AI
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CPT_data
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transformers
safetensors
llama
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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CPT_data
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8097
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: 2e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 200
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.8766
1.0
3005
1.8097
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.1
