--- library_name: peft license: apache-2.0 base_model: NousResearch/Yarn-Mistral-7b-128k tags: - axolotl - generated_from_trainer model-index: - name: c2b9832c-7f1f-49f7-8593-e0b85a1f902f results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) <details><summary>See axolotl config</summary> axolotl version: `0.4.1` ```yaml adapter: lora base_model: NousResearch/Yarn-Mistral-7b-128k bf16: auto chat_template: llama3 dataset_prepared_path: null datasets: - data_files: - e209ac12d842255d_train_data.json ds_type: json format: custom path: /workspace/input_data/e209ac12d842255d_train_data.json type: field_input: label field_instruction: text_with_holes field_output: text_candidates 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: false fp16: null fsdp: null fsdp_config: null gradient_accumulation_steps: 2 gradient_checkpointing: false group_by_length: false hub_model_id: robiulawaldev/c2b9832c-7f1f-49f7-8593-e0b85a1f902f 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: 10 lora_alpha: 64 lora_dropout: 0.05 lora_fan_in_fan_out: null lora_model_dir: null lora_r: 32 lora_target_linear: true lr_scheduler: constant max_steps: 55 micro_batch_size: 4 mlflow_experiment_name: /tmp/e209ac12d842255d_train_data.json model_type: AutoModelForCausalLM num_epochs: 1 optimizer: adamw_bnb_8bit output_dir: miner_id_24 pad_to_sequence_len: true resume_from_checkpoint: null s2_attention: null sample_packing: false saves_per_epoch: 4 sequence_len: 512 special_tokens: pad_token: </s> strict: false tf32: false tokenizer_type: AutoTokenizer train_on_inputs: false trust_remote_code: true val_set_size: 0.05 wandb_entity: null wandb_mode: online wandb_name: 06914de8-d8f1-4e49-971a-9f2cbaf9c200 wandb_project: Birthday-SN56-37-Gradients-On-Demand wandb_run: your_name wandb_runid: 06914de8-d8f1-4e49-971a-9f2cbaf9c200 warmup_steps: 5 weight_decay: 0.0 xformers_attention: null ``` </details><br> # c2b9832c-7f1f-49f7-8593-e0b85a1f902f This model is a fine-tuned version of [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.7867 ## 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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - 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: constant - lr_scheduler_warmup_steps: 5 - training_steps: 55 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | No log | 0.0026 | 1 | 2.0544 | | 3.9941 | 0.0371 | 14 | 1.8190 | | 3.6315 | 0.0742 | 28 | 1.8080 | | 3.6267 | 0.1113 | 42 | 1.7867 | ### Framework versions - PEFT 0.13.2 - Transformers 4.46.0 - Pytorch 2.5.0+cu124 - Datasets 3.0.1 - Tokenizers 0.20.1