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---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
- trl
- kto
- generated_from_trainer
model-index:
- name: 'null'
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pauld/huggingface/runs/5ep5fter)
# null
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6004
- Eval/rewards/chosen: 0.0713
- Eval/logps/chosen: -174.6075
- Eval/rewards/rejected: 0.0986
- Eval/logps/rejected: -217.2799
- Eval/rewards/margins: -0.0273
- Eval/kl: 0.7783
## 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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.5651 | 0.9677 | 15 | 0.6026 | 0.1513 |
| 0.5618 | 2.0 | 31 | 0.5999 | 0.3742 |
| 0.5484 | 2.9677 | 46 | 0.6006 | 0.6711 |
| 0.5466 | 4.0 | 62 | 0.6003 | 0.8158 |
| 0.6017 | 4.8387 | 75 | 0.6004 | 0.7783 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.42.2
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1 |