--- library_name: peft base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM tags: - axolotl - generated_from_trainer model-index: - name: e3ad9e95-04bd-431d-bbd9-2dcc8d91442f results: [] --- [Built with Axolotl](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config axolotl version: `0.4.1` ```yaml adapter: lora base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM bf16: true chat_template: llama3 datasets: - data_files: - 801d20e7a2e7ce95_train_data.json ds_type: json format: custom path: /workspace/input_data/801d20e7a2e7ce95_train_data.json type: field_input: source field_instruction: cwe_id field_output: target format: '{instruction} {input}' no_input_format: '{instruction}' system_format: '{system}' system_prompt: '' debug: null deepspeed: null early_stopping_patience: null eval_max_new_tokens: 128 eval_table_size: null evals_per_epoch: 4 flash_attention: true fp16: false fsdp: null fsdp_config: null gradient_accumulation_steps: 2 gradient_checkpointing: true group_by_length: false hub_model_id: sn5601/e3ad9e95-04bd-431d-bbd9-2dcc8d91442f hub_repo: null hub_strategy: checkpoint hub_token: null learning_rate: 0.0001 load_in_4bit: false load_in_8bit: false local_rank: null logging_steps: 1 lora_alpha: 32 lora_dropout: 0.05 lora_fan_in_fan_out: null lora_model_dir: null lora_r: 16 lora_target_linear: true lr_scheduler: cosine max_memory: 0: 77GiB max_steps: 100 micro_batch_size: 8 mlflow_experiment_name: /tmp/801d20e7a2e7ce95_train_data.json model_type: AutoModelForCausalLM num_epochs: 3 optimizer: adamw_torch output_dir: miner_id_24 pad_to_sequence_len: true resume_from_checkpoint: null s2_attention: null sample_packing: false save_steps: 25 save_strategy: steps sequence_len: 1024 special_tokens: pad_token: strict: false tf32: false tokenizer_type: AutoTokenizer train_on_inputs: false trust_remote_code: true val_set_size: 0.05 wandb_entity: sn56-miner wandb_mode: disabled wandb_name: e3ad9e95-04bd-431d-bbd9-2dcc8d91442f wandb_project: god wandb_run: your_name wandb_runid: e3ad9e95-04bd-431d-bbd9-2dcc8d91442f warmup_steps: 10 weight_decay: 0.01 xformers_attention: false ```

# e3ad9e95-04bd-431d-bbd9-2dcc8d91442f This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None dataset. It achieves the following results on the evaluation set: - Loss: 10.3644 ## 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: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - total_eval_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 10 - training_steps: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 10.3889 | 0.0081 | 1 | 10.3897 | | 10.3866 | 0.0732 | 9 | 10.3885 | | 10.3843 | 0.1463 | 18 | 10.3854 | | 10.3801 | 0.2195 | 27 | 10.3822 | | 10.3768 | 0.2927 | 36 | 10.3787 | | 10.3737 | 0.3659 | 45 | 10.3750 | | 10.3715 | 0.4390 | 54 | 10.3715 | | 10.3674 | 0.5122 | 63 | 10.3684 | | 10.3665 | 0.5854 | 72 | 10.3663 | | 10.363 | 0.6585 | 81 | 10.3651 | | 10.3636 | 0.7317 | 90 | 10.3645 | | 10.3624 | 0.8049 | 99 | 10.3644 | ### Framework versions - PEFT 0.13.2 - Transformers 4.46.0 - Pytorch 2.5.0+cu124 - Datasets 3.0.1 - Tokenizers 0.20.1