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output_deepseek6.7_lemma_small – AI Model by yalhessi | AlphaNeural AI
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output_deepseek6.7_lemma_small
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output_deepseek6.7_lemma_small
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-6.7b-base
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: 0.0008
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=eps=1e-6,weight_decay=0.05
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 12
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.1
