--- library_name: peft license: other base_model: deepseek-ai/deepseek-coder-6.7b-instruct tags: - axolotl - generated_from_trainer model-index: - name: f8bdbb97-1101-474e-89ef-ac1946947a4e results: [] --- [Built with Axolotl](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config axolotl version: `0.12.0.dev0` ```yaml adapter: lora base_model: deepseek-ai/deepseek-coder-6.7b-instruct bf16: true chat_template: llama3 dataloader_num_workers: 12 dataset_prepared_path: null datasets: - data_files: - ecaedadc08522661_train_data.json ds_type: json format: custom path: /workspace/input_data/ type: field_instruction: instruct field_output: output format: '{instruction}' no_input_format: '{instruction}' system_format: '{system}' system_prompt: '' debug: null deepspeed: null early_stopping_patience: null eval_max_new_tokens: 128 eval_steps: null eval_table_size: null evals_per_epoch: null flash_attention: false fp16: false fsdp: null fsdp_config: null gradient_accumulation_steps: 1 gradient_checkpointing: true group_by_length: false hub_model_id: cpheemagazine/f8bdbb97-1101-474e-89ef-ac1946947a4e hub_repo: null hub_strategy: checkpoint hub_token: null learning_rate: 0.0002 load_in_4bit: false load_in_8bit: false local_rank: null logging_steps: null lora_alpha: 64 lora_dropout: 0.05 lora_fan_in_fan_out: null lora_model_dir: null lora_r: 32 lora_target_linear: true loraplus_lr_embedding: 1.0e-06 loraplus_lr_ratio: 16 lr_scheduler: cosine max_grad_norm: 1 max_steps: 100 micro_batch_size: 60 mlflow_experiment_name: /tmp/ecaedadc08522661_train_data.json model_type: AutoModelForCausalLM num_epochs: 200 optimizer: adamw_bnb_8bit output_dir: miner_id_24 pad_to_sequence_len: true resume_from_checkpoint: null s2_attention: null sample_packing: false save_steps: 320 save_total_limit: 10 saves_per_epoch: 0 sequence_len: 1024 strict: false tf32: true tokenizer_type: AutoTokenizer train_on_inputs: false trust_remote_code: true val_set_size: 0.0 wandb_entity: null wandb_mode: online wandb_name: 6dd00401-5815-43fd-999d-6b30aedf53fa wandb_project: Gradients-On-Demand wandb_run: your_name wandb_runid: 6dd00401-5815-43fd-999d-6b30aedf53fa warmup_steps: 213 weight_decay: 0 xformers_attention: null ```

# f8bdbb97-1101-474e-89ef-ac1946947a4e This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-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: 60 - eval_batch_size: 60 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 213 - training_steps: 100 ### Training results ### Framework versions - PEFT 0.15.2 - Transformers 4.53.1 - Pytorch 2.7.1+cu128 - Datasets 3.6.0 - Tokenizers 0.21.2