Update README.md

README.md

@@ -1,3 +1,151 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- Crystalcareai/openhermes_200k_unfiltered
+language:
+- en
+library_name: transformers
+base_model: h2oai/h2o-danube2-1.8b-base
+---
+# 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 [openhermes-unfiltered](https://huggingface.co/datasets/Crystalcareai/openhermes_200k_unfiltered).
+
+
+## Template
+
+```jinja
+<|im_start>user
+{{instruction}}<|im_end|>
+<|im_start>assistant
+{{response}}<|im_end>
+```
+
+## BAdam
+
+**System:** You are a helpful assistant.
+
+```yaml
+### model
+model_name_or_path: danube2-base-chatml
+
+### method
+stage: sft
+do_train: true
+finetuning_type: full
+use_badam: true
+badam_switch_mode: ascending
+badam_switch_interval: 50
+badam_verbose: 1
+badam_start_block: 10
+seed: 720
+
+### dataset
+dataset: openhermes_unfiltered
+template: ninja_chatml
+cutoff_len: 8192
+overwrite_cache: false
+preprocessing_num_workers: 12
+
+### output
+output_dir: openhermes-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: 0.00001
+num_train_epochs: 1
+lr_scheduler_type: constant_with_warmup
+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: 2000
+```
+
+### BAdam Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.7971        | 0.1748 | 2000  | 0.7418          |
+| 0.6815        | 0.3496 | 4000  | 0.7178          |
+| 0.6593        | 0.5245 | 6000  | 0.7055          |
+| 0.6923        | 0.6993 | 8000  | 0.6960          |
+| 0.6942        | 0.8741 | 10000 | 0.6877          |
+
+
+## QLoRA+
+```yaml
+### model
+model_name_or_path: openhermes-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: 3141
+
+### dataset
+dataset: openhermes_unfiltered
+template: hermes_chatml
+cutoff_len: 8192
+overwrite_cache: false
+preprocessing_num_workers: 12
+
+### output
+output_dir: openhermes-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: 1.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.01
+bf16: true
+flash_attn: fa2
+#neftune_noise_alpha: 5
+
+### eval
+val_size: 0.02
+per_device_eval_batch_size: 1
+eval_strategy: steps
+eval_steps: 1000
+```
+
+### QLoRA+ Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.6523        | 0.0883 | 1000  | 0.7126          |
+| 0.6398        | 0.1766 | 2000  | 0.7086          |
+| 0.6865        | 0.2649 | 3000  | 0.7001          |
+| 0.6714        | 0.3532 | 4000  | 0.6917          |
+| 0.7213        | 0.4415 | 5000  | 0.6819          |
+| 0.7764        | 0.5298 | 6000  | 0.6721          |
+| 0.6931        | 0.6181 | 7000  | 0.6638          |
+| 0.6632        | 0.7064 | 8000  | 0.6560          |
+| 0.5966        | 0.7947 | 9000  | 0.6514          |
+| 0.6339        | 0.8830 | 10000 | 0.6482          |
+| 0.4987        | 0.9713 | 11000 | 0.6472          |