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--- |
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license: apache-2.0 |
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datasets: |
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- abacusai/SystemChat-1.1 |
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language: |
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- en |
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library_name: transformers |
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tags: |
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- llama-factory |
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- unsloth |
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--- |
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# h2o-danube2 with ChatML template |
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This is a [BAdam](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") fine-tuned danube2 base model. It uses the ChatML template and was trained on the [SystemChat-1.1](https://huggingface.co/datasets/abacusai/SystemChat-1.1) from [Abacus.AI](https://huggingface.co/abacusai). |
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## Quants |
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Thank you [mradermacher](https://huggingface.co/mradermacher)! |
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- [mradermacher/danube2-1.8b-SystemChat-1.1-GGUF](https://huggingface.co/mradermacher/danube2-1.8b-SystemChat-1.1-GGUF) |
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## Template |
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```jinja |
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<|im_start|>system |
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{{system}}<|im_end|> |
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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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```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: descending |
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badam_switch_interval: 50 |
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badam_start_block: 22 |
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badam_mask_mode: scatter |
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badam_verbose: 1 |
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seed: 314 |
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### dataset |
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dataset: systemchat11 |
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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: systemchat11-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: 0.00002 |
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num_train_epochs: 3 |
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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: 0.01 |
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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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| 1.0062 | 0.8324 | 1000 | 0.9837 | |
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| 0.8484 | 1.6648 | 2000 | 0.9388 | |
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| 0.7834 | 2.4971 | 3000 | 0.9309 | |
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## QLoRA+ |
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```yaml |
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### model |
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model_name_or_path: systemchat11-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: 31415 |
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### dataset |
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dataset: systemchat11 |
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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: systemchat11-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: 500 |
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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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| 0.8591 | 0.4204 | 500 | 0.8457 | |
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| 0.9098 | 0.8409 | 1000 | 0.8251 | |
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| 0.735 | 1.2613 | 1500 | 0.8304 | |
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| 0.6811 | 1.6817 | 2000 | 0.8252 | |
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