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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: llama3_false_positives_1101_KTO_optimised_model
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. -->
# llama3_false_positives_1101_KTO_optimised_model
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: 0.5288
- Rewards/chosen: 0.5981
- Logps/chosen: -45.9608
- Rewards/rejected: -0.3258
- Logps/rejected: -56.8765
- Rewards/margins: 0.9238
- Kl: 0.0439
## 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: 6.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:------:|
| 0.4886 | 0.96 | 12 | 0.6709 | 0.1420 | -50.5211 | 0.0978 | -52.6405 | 0.0442 | 0.1381 |
| 0.5124 | 2.0 | 25 | 0.5966 | 0.3060 | -48.8816 | -0.1760 | -55.3786 | 0.4819 | 0.0375 |
| 0.3647 | 2.96 | 37 | 0.5552 | 0.4908 | -47.0331 | -0.2555 | -56.1745 | 0.7464 | 0.0447 |
| 0.3725 | 4.0 | 50 | 0.5239 | 0.5506 | -46.4352 | -0.3964 | -57.5829 | 0.9470 | 0.0317 |
| 0.3249 | 4.96 | 62 | 0.5300 | 0.5839 | -46.1019 | -0.3309 | -56.9280 | 0.9148 | 0.0409 |
| 0.3262 | 5.76 | 72 | 0.5288 | 0.5981 | -45.9608 | -0.3258 | -56.8765 | 0.9238 | 0.0439 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 3.1.0
- Tokenizers 0.15.2 |