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sft_model_test1 – AI Model by 4season | AlphaNeural AI
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4season
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sft_model_test1
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transformers
safetensors
llama
text-generation
en
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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4season/sft_model_test1
Introduction
This model is test version, sft model.
We utilize state-of-the-art instruction fine-tuning methods.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0