--- library_name: peft license: apache-2.0 base_model: unsloth/gemma-2b-it tags: - axolotl - generated_from_trainer model-index: - name: 7f6b1bdb-a016-4758-b055-c2a0e2032cd2 results: [] --- [Built with Axolotl](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config axolotl version: `0.4.1` ```yaml adapter: lora base_model: unsloth/gemma-2b-it bf16: auto chat_template: llama3 dataset_prepared_path: null datasets: - data_files: - 747c314d84a08365_train_data.json ds_type: json format: custom path: /workspace/input_data/747c314d84a08365_train_data.json type: field_input: input field_instruction: question field_output: answer_text 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: 3 flash_attention: false fp16: null fsdp: null fsdp_config: null gradient_accumulation_steps: 6 gradient_checkpointing: true group_by_length: false hub_model_id: dimasik87/7f6b1bdb-a016-4758-b055-c2a0e2032cd2 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: 128 lora_dropout: 0.05 lora_fan_in_fan_out: null lora_model_dir: null lora_r: 64 lora_target_linear: true lr_scheduler: cosine max_memory: 0: 70GiB max_steps: 25 micro_batch_size: 4 mlflow_experiment_name: /tmp/747c314d84a08365_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: 4056 strict: false tf32: false tokenizer_type: AutoTokenizer torch_dtype: bfloat16 train_on_inputs: false trust_remote_code: true val_set_size: 0.05 wandb_entity: null wandb_mode: online wandb_name: 7f6b1bdb-a016-4758-b055-c2a0e2032cd2 wandb_project: Gradients-On-Demand wandb_run: your_name wandb_runid: 7f6b1bdb-a016-4758-b055-c2a0e2032cd2 warmup_ratio: 0.05 weight_decay: 0.01 xformers_attention: null ```

# 7f6b1bdb-a016-4758-b055-c2a0e2032cd2 This model is a fine-tuned version of [unsloth/gemma-2b-it](https://huggingface.co/unsloth/gemma-2b-it) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1297 ## 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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 6 - total_train_batch_size: 24 - 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: 2 - training_steps: 25 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.9037 | 0.0032 | 1 | 1.2200 | | 0.4452 | 0.0097 | 3 | 0.2269 | | 0.2001 | 0.0194 | 6 | 0.1699 | | 0.0941 | 0.0290 | 9 | 0.1483 | | 0.0899 | 0.0387 | 12 | 0.1477 | | 0.111 | 0.0484 | 15 | 0.1337 | | 0.0874 | 0.0581 | 18 | 0.1298 | | 0.0954 | 0.0678 | 21 | 0.1301 | | 0.1135 | 0.0775 | 24 | 0.1297 | ### Framework versions - PEFT 0.13.2 - Transformers 4.46.0 - Pytorch 2.5.0+cu124 - Datasets 3.0.1 - Tokenizers 0.20.1