Update README.md

README.md

@@ -1,3 +1,137 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- abacusai/SystemChat-1.1
+language:
+- en
+library_name: transformers
+tags:
+- llama-factory
+- unsloth
+---
+# h2o-danube2 with ChatML template
+
+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).
+
+
+
+## BAdam
+
+```yaml
+### model
+model_name_or_path: danube2-base-chatml
+
+### method
+stage: sft
+do_train: true
+finetuning_type: full
+use_badam: true
+badam_switch_mode: descending
+badam_switch_interval: 50
+badam_start_block: 22
+badam_mask_mode: scatter
+badam_verbose: 1
+seed: 314
+
+### dataset
+dataset: systemchat11
+template: ninja_chatml
+cutoff_len: 8192
+overwrite_cache: false
+preprocessing_num_workers: 12
+
+### output
+output_dir: systemchat11-chatml-badam
+logging_steps: 5
+save_steps: 1
+save_strategy: epoch
+plot_loss: true
+overwrite_output_dir: false
+
+### train
+per_device_train_batch_size: 2
+gradient_accumulation_steps: 8
+learning_rate: 0.00002
+num_train_epochs: 3
+lr_scheduler_type: cosine
+warmup_ratio: 0.01
+bf16: true
+flash_attn: fa2
+
+### eval
+val_size: 0.01
+per_device_eval_batch_size: 1
+eval_strategy: steps
+eval_steps: 1000
+
+```
+
+### BAdam Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0062        | 0.8324 | 1000 | 0.9837          |
+| 0.8484        | 1.6648 | 2000 | 0.9388          |
+| 0.7834        | 2.4971 | 3000 | 0.9309          |
+
+
+## QLoRA+
+
+```yaml
+### model
+model_name_or_path: systemchat11-chatml-badam
+
+### method
+stage: sft
+do_train: true
+finetuning_type: lora
+lora_target: all
+loraplus_lr_ratio: 16.0
+lora_rank: 8
+lora_alpha: 16
+use_unsloth: true
+quantization_bit: 4
+upcast_layernorm: true
+seed: 31415
+
+### dataset
+dataset: systemchat11
+template: hermes_chatml
+cutoff_len: 8192
+overwrite_cache: false
+preprocessing_num_workers: 12
+
+### output
+output_dir: systemchat11-chatml-badam/loraplus
+logging_steps: 1
+save_steps: 1
+save_strategy: epoch
+plot_loss: true
+overwrite_output_dir: false
+
+### train
+per_device_train_batch_size: 4
+gradient_accumulation_steps: 4
+learning_rate: 0.0001
+num_train_epochs: 2.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.01
+bf16: true
+flash_attn: fa2
+
+### eval
+val_size: 0.02
+per_device_eval_batch_size: 1
+eval_strategy: steps
+eval_steps: 500
+```
+
+### QLoRA+ Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8591        | 0.4204 | 500  | 0.8457          |
+| 0.9098        | 0.8409 | 1000 | 0.8251          |
+| 0.735         | 1.2613 | 1500 | 0.8304          |
+| 0.6811        | 1.6817 | 2000 | 0.8252          |
+