| --- |
| library_name: peft |
| license: mit |
| base_model: unsloth/Phi-3-medium-4k-instruct |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: 65665304-fb0e-4e82-8266-aba26a9f6ca0 |
| 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: qlora |
| base_model: unsloth/Phi-3-medium-4k-instruct |
| bf16: auto |
| chat_template: llama3 |
| dataset_prepared_path: null |
| datasets: |
| - data_files: |
| - 9cd9d6ddd992cd94_train_data.json |
| ds_type: json |
| format: custom |
| path: /workspace/input_data/9cd9d6ddd992cd94_train_data.json |
| type: |
| field_input: input |
| field_instruction: system_prompt |
| field_output: reference_answer |
| format: '{instruction} {input}' |
| no_input_format: '{instruction}' |
| system_format: '{system}' |
| system_prompt: '' |
| debug: null |
| deepspeed: null |
| early_stopping_patience: 5 |
| eval_max_new_tokens: 128 |
| eval_steps: 200 |
| eval_table_size: null |
| flash_attention: true |
| fp16: null |
| fsdp: null |
| fsdp_config: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| group_by_length: true |
| hub_model_id: error577/65665304-fb0e-4e82-8266-aba26a9f6ca0 |
| hub_repo: null |
| hub_strategy: checkpoint |
| hub_token: null |
| learning_rate: 0.0002 |
| load_in_4bit: true |
| load_in_8bit: false |
| local_rank: null |
| logging_steps: 1 |
| lora_alpha: 16 |
| lora_dropout: 0.15 |
| lora_fan_in_fan_out: null |
| lora_model_dir: null |
| lora_r: 8 |
| lora_target_linear: true |
| loraplus_lr_ratio: 16 |
| lr_scheduler: constant_with_warmup |
| micro_batch_size: 2 |
| mlflow_experiment_name: /tmp/9cd9d6ddd992cd94_train_data.json |
| model_type: AutoModelForCausalLM |
| num_epochs: 3 |
| optimizer: paged_ademamix_8bit |
| output_dir: miner_id_24 |
| pad_to_sequence_len: true |
| restore_best_weights: true |
| resume_from_checkpoint: null |
| s2_attention: null |
| sample_packing: false |
| save_steps: 200 |
| |
| sequence_len: 256 |
| strict: false |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| trust_remote_code: true |
| val_set_size: 0.002 |
| wandb_entity: null |
| wandb_mode: online |
| wandb_name: 23ddb23c-7a61-40c1-9f72-48b94618385b |
| wandb_project: Gradients-On-Demand |
| wandb_run: your_name |
| wandb_runid: 23ddb23c-7a61-40c1-9f72-48b94618385b |
| warmup_steps: 10 |
| weight_decay: 0.0 |
| xformers_attention: null |
| |
| ``` |
|
|
| </details><br> |
|
|
| # 65665304-fb0e-4e82-8266-aba26a9f6ca0 |
|
|
| This model is a fine-tuned version of [unsloth/Phi-3-medium-4k-instruct](https://huggingface.co/unsloth/Phi-3-medium-4k-instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0604 |
|
|
| ## 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: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are: |
| No additional optimizer arguments |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 4.8043 | 0.0001 | 1 | 1.1370 | |
| | 3.1671 | 0.0212 | 200 | 0.3959 | |
| | 1.3667 | 0.0424 | 400 | 0.1787 | |
| | 1.3113 | 0.0637 | 600 | 0.0892 | |
| | 0.5292 | 0.0849 | 800 | 0.2110 | |
| | 0.3196 | 0.1061 | 1000 | 0.0461 | |
| | 0.5194 | 0.1273 | 1200 | 0.0534 | |
| | 3.7961 | 0.1485 | 1400 | 0.0516 | |
| | 0.3986 | 0.1698 | 1600 | 0.0575 | |
| | 0.3479 | 0.1910 | 1800 | 0.0679 | |
| | 0.777 | 0.2122 | 2000 | 0.0604 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.13.2 |
| - Transformers 4.46.0 |
| - Pytorch 2.5.0+cu124 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.1 |
