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DS-6.7B-schema_2 – AI Model by jdeklerk10 | AlphaNeural AI
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DS-6.7B-schema_2
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peft
safetensors
trl
sft
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deepseek-ai/deepseek-coder-6.7b-instruct
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DS-6.7B-schema_2
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-6.7b-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1718
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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0235
0.19
50
0.2107
0.0528
0.38
100
0.1890
0.055
0.57
150
0.1867
0.053
0.76
200
0.1722
0.0843
0.95
250
0.1718
Framework versions
PEFT 0.10.0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
