| --- |
| library_name: peft |
| base_model: openchat/openchat_3.5 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - Dr-Floofers/PIPv2 |
| model-index: |
| - name: Dr-Floofers/PIPv2 |
| results: [] |
| --- |
| |
| [<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: `0.8.0.dev0` |
| ```yaml |
| adapter: lora |
| base_model: openchat/openchat_3.5 |
| bf16: auto |
| dataset_processes: 32 |
| datasets: |
| - type: chat_template |
| field_messages: conversations |
| message_property_mappings: |
| content: value |
| role: from |
| path: Dr-Floofers/PIPv2 |
| trust_remote_code: false |
| gradient_accumulation_steps: 1 |
| gradient_checkpointing: false |
| learning_rate: 0.0002 |
| lisa_layers_attribute: model.layers |
| load_best_model_at_end: true |
| load_in_4bit: false |
| load_in_8bit: true |
| lora_alpha: 32 |
| lora_dropout: 0.05 |
| lora_r: 16 |
| lora_target_modules: |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| - gate_proj |
| - down_proj |
| - up_proj |
| loraplus_lr_embedding: 1.0e-06 |
| lr_scheduler: cosine |
| max_prompt_len: 512 |
| mean_resizing_embeddings: false |
| micro_batch_size: 16 |
| num_epochs: 3 |
| optimizer: adamw_bnb_8bit |
| output_dir: ./outputs/mymodel |
| pretrain_multipack_attn: true |
| pretrain_multipack_buffer_size: 10000 |
| qlora_sharded_model_loading: false |
| ray_num_workers: 1 |
| resources_per_worker: |
| GPU: 1 |
| sample_packing_bin_size: 200 |
| sample_packing_group_size: 100000 |
| save_only_model: false |
| save_safetensors: true |
| sequence_len: 4096 |
| shuffle_merged_datasets: true |
| skip_prepare_dataset: false |
| strict: false |
| train_on_inputs: false |
| trl: |
| log_completions: false |
| ref_model_mixup_alpha: 0.9 |
| ref_model_sync_steps: 64 |
| sync_ref_model: false |
| use_vllm: false |
| vllm_device: auto |
| vllm_dtype: auto |
| vllm_gpu_memory_utilization: 0.9 |
| use_ray: false |
| val_set_size: 0.0 |
| weight_decay: 0.0 |
| |
| ``` |
| </details> |
|
|
| > [!WARNING] |
| > This code is provided for personal viewing and reference purposes only <br> |
| > You may not copy, modify, distribute, or use this code in any way without explicit permission |
|
|
| This model is a fine-tuned version of [openchat/openchat_3.5](https://huggingface.co/openchat/openchat_3.5) on the Dr-Floofers/PIPv2 dataset. |
|
|
| ## Intended uses & limitations |
|
|
| The inteded use of this model is to be a personal assintant for a person named Mylo. It is also limted to only this and has a hard time doing anything else. |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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 |
| - num_epochs: 3.0 |
|
|
| ### Framework versions |
|
|
| - PEFT 0.14.0 |
| - Transformers 4.49.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
