| | --- |
| | license: llama2 |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: tavtav/Rose-20B |
| | model-index: |
| | - name: Rose-Kimiko |
| | 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| | # qlora-out |
| |
|
| | This model is a fine-tuned version of [tavtav/Rose-20B](https://huggingface.co/tavtav/Rose-20B) on the Kimiko dataset. |
| |
|
| | ## Model description |
| |
|
| | The prompt formats used is ShareGPT/Vicuna format. |
| |
|
| | ## Intended uses & limitations |
| |
|
| | Per many people requests, this LoRA is intended to fix spelling from Rose 20B. |
| |
|
| | ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 10 |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.36.0.dev0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| | ## Training procedure |
| |
|
| |
|
| | The following `bitsandbytes` quantization config was used during training: |
| | - quant_method: bitsandbytes |
| | - load_in_8bit: False |
| | - load_in_4bit: True |
| | - llm_int8_threshold: 6.0 |
| | - llm_int8_skip_modules: None |
| | - llm_int8_enable_fp32_cpu_offload: False |
| | - llm_int8_has_fp16_weight: False |
| | - bnb_4bit_quant_type: nf4 |
| | - bnb_4bit_use_double_quant: True |
| | - bnb_4bit_compute_dtype: bfloat16 |
| | |
| | ### Framework versions |
| | |
| | |
| | - PEFT 0.6.0 |
| | |
