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--- |
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license: apache-2.0 |
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datasets: |
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- jondurbin/airoboros-3.2 |
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language: |
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- en |
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library_name: transformers |
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base_model: h2oai/h2o-danube2-1.8b-base |
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--- |
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# h2o-danube2 with ChatML template |
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This is a [BAdam fine-tuned](https://arxiv.org/abs/2404.02827 "BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models") and [LoRA+](https://arxiv.org/abs/2402.12354 "LoRA+: Efficient Low Rank Adaptation of Large Models") danube2 base model. It uses the ChatML template and was trained on the [Airoboros-3.2](https://huggingface.co/datasets/jondurbin/airoboros-3.2) (CC BY 4.0) dataset from [jondurbin](https://huggingface.co/jondurbin). |
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## Quants |
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Thank you [mradermacher](https://huggingface.co/mradermacher)! |
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- [mradermacher/danube2-1.8b-airoboros-3.2-GGUF](https://huggingface.co/mradermacher/danube2-1.8b-airoboros-3.2-GGUF) |
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## Template |
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```jinja |
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<|im_start|>user |
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{{instruction}}<|im_end|> |
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<|im_start|>assistant |
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{{response}}<|im_end|> |
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``` |
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## BAdam |
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**System:** You are a helpful assistant. |
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```yaml |
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### model |
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model_name_or_path: danube2-base-chatml |
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### method |
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stage: sft |
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do_train: true |
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finetuning_type: full |
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use_badam: true |
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badam_switch_mode: ascending |
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badam_switch_interval: 50 |
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badam_verbose: 1 |
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badam_start_block: 13 |
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badam_mask_mode: scatter |
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seed: 314 |
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### dataset |
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dataset: airoboros32 |
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template: hermes_chatml |
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cutoff_len: 8192 |
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overwrite_cache: false |
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preprocessing_num_workers: 12 |
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### output |
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output_dir: airoboros32-chatml-badam |
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logging_steps: 5 |
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save_steps: 1 |
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save_strategy: epoch |
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plot_loss: true |
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overwrite_output_dir: false |
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### train |
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per_device_train_batch_size: 2 |
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gradient_accumulation_steps: 8 |
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learning_rate: 0.00001 |
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num_train_epochs: 2 |
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lr_scheduler_type: cosine |
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warmup_ratio: 0.01 |
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pure_bf16: true |
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flash_attn: fa2 |
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### eval |
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val_size: 0.01 |
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per_device_eval_batch_size: 1 |
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eval_strategy: steps |
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eval_steps: 1000 |
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``` |
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### BAdam Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9124 | 0.2753 | 1000 | 0.9466 | |
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| 0.8072 | 0.5506 | 2000 | 0.9149 | |
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| 0.9017 | 0.8258 | 3000 | 0.8982 | |
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| 0.8883 | 1.1011 | 4000 | 0.8844 | |
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| 0.8405 | 1.3764 | 5000 | 0.8786 | |
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| 0.864 | 1.6517 | 6000 | 0.8754 | |
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| 0.7758 | 1.9270 | 7000 | 0.8752 | |
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## QLoRA+ |
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**System:** None |
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```yaml |
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### model |
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model_name_or_path: airoboros32-chatml-badam |
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### method |
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stage: sft |
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do_train: true |
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finetuning_type: lora |
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lora_target: all |
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loraplus_lr_ratio: 16.0 |
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lora_rank: 8 |
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lora_alpha: 16 |
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use_unsloth: true |
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quantization_bit: 4 |
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upcast_layernorm: true |
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seed: 314 |
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### dataset |
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dataset: airoboros32 |
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template: hermes_chatml |
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cutoff_len: 8192 |
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overwrite_cache: false |
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preprocessing_num_workers: 12 |
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### output |
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output_dir: airoboros32-chatml-badam/loraplus |
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logging_steps: 1 |
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save_steps: 1 |
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save_strategy: epoch |
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plot_loss: true |
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overwrite_output_dir: false |
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### train |
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per_device_train_batch_size: 4 |
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gradient_accumulation_steps: 4 |
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learning_rate: 0.0001 |
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num_train_epochs: 2.0 |
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lr_scheduler_type: cosine |
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warmup_ratio: 0.01 |
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bf16: true |
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flash_attn: fa2 |
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### eval |
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val_size: 0.02 |
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per_device_eval_batch_size: 1 |
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eval_strategy: steps |
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eval_steps: 1000 |
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``` |
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### QLoRA+ Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9691 | 0.2781 | 1000 | 0.8704 | |
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| 0.7387 | 0.5562 | 2000 | 0.8443 | |
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| 0.6769 | 0.8343 | 3000 | 0.8250 | |
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| 0.5156 | 1.1123 | 4000 | 0.8134 | |
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| 0.4142 | 1.3904 | 5000 | 0.8029 | |
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| 0.6328 | 1.6685 | 6000 | 0.7953 | |
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| 0.872 | 1.9466 | 7000 | 0.7927 | |
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