metadata
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-instruct
tags:
- base_model:adapter:deepseek-ai/deepseek-coder-1.3b-instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: TrainingArguments_output
results: []
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