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---
license: llama3.1
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: flippa-v6
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. -->
# flippa-v6
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5640
## 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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9009 | 1.0 | 500 | 1.9374 |
| 1.6797 | 2.0 | 1000 | 1.7561 |
| 1.5561 | 3.0 | 1500 | 1.6929 |
| 1.5276 | 4.0 | 2000 | 1.6550 |
| 1.5116 | 5.0 | 2500 | 1.6310 |
| 1.465 | 6.0 | 3000 | 1.6144 |
| 1.4707 | 7.0 | 3500 | 1.6029 |
| 1.4412 | 8.0 | 4000 | 1.5939 |
| 1.4494 | 9.0 | 4500 | 1.5857 |
| 1.4433 | 10.0 | 5000 | 1.5791 |
| 1.4348 | 11.0 | 5500 | 1.5734 |
| 1.4185 | 12.0 | 6000 | 1.5696 |
| 1.404 | 13.0 | 6500 | 1.5665 |
| 1.4087 | 14.0 | 7000 | 1.5648 |
| 1.4268 | 15.0 | 7500 | 1.5640 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_carsenk__flippa-v6)
| Metric |Value|
|-------------------|----:|
|Avg. |20.55|
|IFEval (0-Shot) |34.39|
|BBH (3-Shot) |29.99|
|MATH Lvl 5 (4-Shot)|12.69|
|GPQA (0-shot) | 5.70|
|MuSR (0-shot) |10.88|
|MMLU-PRO (5-shot) |29.64|
|