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full_deepseek-1.3-tc – AI Model by Yhhhhhhhhh | AlphaNeural AI
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full_deepseek-1.3-tc
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transformers
tensorboard
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
deepseek-ai/deepseek-coder-1.3b-instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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nopy_timecp_final_sft_deepseek-coder-1.3b-instruct
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-1.3b-instruct
on the output dataset. It achieves the following results on the evaluation set:
Loss: 0.2606
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: 5e-06
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4.0
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
