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---
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|
|