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trollek/
danube2-1.8b-SystemChat-1.1

Name: danube2-1.8b-SystemChat-1.1
Availability: InStock

abacusai/SystemChat-1.1

text-generation-inference

endpoints_compatible

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h2o-danube2 with ChatML template

This is a BAdam and LoRA+ fine-tuned danube2 base model. It uses the ChatML template and was trained on the SystemChat-1.1 from Abacus.AI.

Quants

Thank you mradermacher!

mradermacher/danube2-1.8b-SystemChat-1.1-GGUF

Template

jinja

<|im_start|>system
{{system}}<|im_end|>
<|im_start|>user
{{instruction}}<|im_end|>
<|im_start|>assistant
{{response}}<|im_end|>

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: hermes_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+