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TrainingArguments_output – AI Model by kshi3430 | AlphaNeural AI
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TrainingArguments_output
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TrainingArguments_output
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-1.3b-instruct
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
Framework versions
PEFT 0.18.0
Transformers 4.57.2
Pytorch 2.9.1+cu128
Datasets 4.3.0
Tokenizers 0.22.1
