|
--- |
|
license: apache-2.0 |
|
datasets: |
|
- hiyouga/glaive-function-calling-v2-sharegpt |
|
language: |
|
- en |
|
library_name: transformers |
|
tags: |
|
- llama-factory |
|
- unsloth |
|
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") fine-tuned danube2 base model. It uses the ChatML template and was trained on the [glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) dataset from [GlaiveAI](https://huggingface.co/glaiveai) that has been converted to [ShareGPT](https://huggingface.co/datasets/hiyouga/glaive-function-calling-v2-sharegpt) by [hiyouga](https://huggingface.co/hiyouga) of [LLama-Factory](https://github.com/hiyouga/LLaMA-Factory) fame. |
|
|
|
## Template |
|
|
|
### ChatML |
|
```jinja2 |
|
<|im_start|>system |
|
{{system}} |
|
<tools> |
|
{{json_format_tools}} |
|
</tools><|im_end|> |
|
<|im_start|>user |
|
{{instruction}}<|im_end|> |
|
<|im_start|>assistant |
|
<tool_call> |
|
{{tool_call}} |
|
</tool_call><|im_end|> |
|
<|im_start|>tool |
|
<tool_response> |
|
{{response}} |
|
</tool_response><|im_end|> |
|
``` |
|
|
|
### LLama-Factory |
|
```python |
|
_register_template( |
|
name="hermes_chatml", |
|
format_user=StringFormatter(slots=["<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n"]), |
|
format_assistant=StringFormatter(slots=["{{content}}<|im_end|>\n"]), |
|
format_system=StringFormatter(slots=["<|im_start|>system\n{{content}}<|im_end|>\n"]), |
|
format_function=FunctionFormatter(slots=["<tool_call>\n{\"name\":\"{{name}}\", \"arguments\":{{arguments}}}\n</tool_call><|im_end|>\n"]), |
|
format_observation=StringFormatter(slots=["<|im_start|>tool\n<tool_response>\n{{content}}\n</tool_response><|im_end|>\n<|im_start|>assistant\n"]), |
|
format_tools=ToolFormatter(tool_format="chatml"), |
|
stop_words=["<|im_end|>"], |
|
) |
|
``` |
|
|
|
## BAdam config |
|
|
|
```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: 5 |
|
seed: 404 |
|
|
|
### dataset |
|
dataset: glaive_toolcall_100k |
|
template: hermes_chatml |
|
cutoff_len: 8192 |
|
overwrite_cache: false |
|
preprocessing_num_workers: 12 |
|
|
|
### output |
|
output_dir: glaive-tool-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: 0.000005 |
|
num_train_epochs: 1 |
|
lr_scheduler_type: cosine |
|
warmup_ratio: 0.01 |
|
pure_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 | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.3914 | 0.1607 | 1000 | 0.2984 | |
|
| 0.3256 | 0.3214 | 2000 | 0.2819 | |
|
| 0.4131 | 0.4821 | 3000 | 0.2765 | |
|
| 0.3922 | 0.6428 | 4000 | 0.2736 | |
|
| 0.3528 | 0.8036 | 5000 | 0.2724 | |
|
| 0.3477 | 0.9643 | 6000 | 0.2724 | |
