metadata
license: apache-2.0
datasets:
- cognitivecomputations/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
language:
- en
library_name: transformers
base_model: h2oai/h2o-danube2-1.8b-base
tags:
- llama-factory
- unsloth
h2o-danube2 with ChatML template
This model was first fine-tuned with BAdam on cognitivecomputations/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split using LLama-Factory.
Template
<|im_start|>system
You are a helpful assistant that gives long and detailed answers.<|im_end|>
<|im_start|>user
{{instruction}}<|im_end|>
<|im_start|>assistant
{{response}}<|im_end|>
BAdam config
### 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: 6
seed: 720
### dataset
dataset: wizardlm_evol_v2_196k_unfiltered
template: ninja_chatml
cutoff_len: 8192
overwrite_cache: false
preprocessing_num_workers: 12
### output
output_dir: wizardlm-evol-v2-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
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 |
|---|---|---|---|
| 0.6195 | 0.1050 | 1000 | 0.7363 |
| 0.6788 | 0.2100 | 2000 | 0.7252 |
| 0.689 | 0.3150 | 3000 | 0.7172 |
| 0.6707 | 0.4200 | 4000 | 0.7133 |
| 0.6674 | 0.5250 | 5000 | 0.7091 |
| 0.7365 | 0.6301 | 6000 | 0.7085 |
| 0.7037 | 0.7351 | 7000 | 0.7066 |
| 0.709 | 0.8401 | 8000 | 0.7041 |
| 0.6652 | 0.9451 | 9000 | 0.7042 |