---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
base_model: h2oai/h2o-danube2-1.8b-base
datasets:
- Ritvik19/open-hermes-2_5-reformatted
model-index:
- name: openhermes-danube-sft-qlora
  results: []
---

**Note**: This model card has been generated automatically according to the information the Trainer had access to. 
Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description

# openhermes-danube-sft-qlora

This model is a fine-tuned version of [h2oai/h2o-danube2-1.8b-base](https://huggingface.co/h2oai/h2o-danube2-1.8b-base) on the Ritvik19/open-hermes-2_5-reformatted dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1197

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0838        | 0.9999 | 1704 | 1.1197          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.1
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Ritvik19__openhermes-danube2-sft-qlora)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |44.12|
|AI2 Reasoning Challenge (25-Shot)|43.26|
|HellaSwag (10-Shot)              |73.12|
|MMLU (5-Shot)                    |40.19|
|TruthfulQA (0-shot)              |38.93|
|Winogrande (5-shot)              |67.88|
|GSM8k (5-shot)                   | 1.36|