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test-sft – AI Model by YDTsai | AlphaNeural AI
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test-sft
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transformers
safetensors
llama
text-generation
trl
sft
generated_from_trainer
conversational
codellama/CodeLlama-7b-Instruct-hf
finetune
llama2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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test-sft
This model is a fine-tuned version of
codellama/CodeLlama-7b-Instruct-hf
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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 128
total_train_batch_size: 2048
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.39.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0