---
license: cc-by-nc-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
model-index:
- name: meow
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# meow

This model is a fine-tuned version of [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0) on HuggingFaceH4/no_robots dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3831

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3864        | 0.11  | 2    | 2.3831          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
## Training procedure


### Framework versions


- PEFT 0.6.1

# [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_rishiraj__meow)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.94|
|AI2 Reasoning Challenge (25-Shot)|70.48|
|HellaSwag (10-Shot)              |88.08|
|MMLU (5-Shot)                    |66.25|
|TruthfulQA (0-shot)              |70.49|
|Winogrande (5-shot)              |83.43|
|GSM8k (5-shot)                   |64.90|