---
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
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# 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