---
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_0609_KTO_hp_screening_seeds
  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_0609_KTO_hp_screening_seeds

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: 0.6174
- Eval/rewards/chosen: 3.9755
- Eval/logps/chosen: -167.8246
- Eval/rewards/rejected: 3.6477
- Eval/logps/rejected: -185.0994
- Eval/rewards/margins: 0.3278
- Eval/kl: 30.1289

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 2
- seed: 9012
- 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 |         |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5421        | 0.9412 | 12   | 0.6354          | 16.3097 |
| 0.3533        | 1.9608 | 25   | 0.6275          | 23.1842 |
| 0.1385        | 2.9804 | 38   | 0.6259          | 27.3092 |
| 0.1556        | 4.0    | 51   | 0.6243          | 30.4607 |
| 0.1375        | 4.9412 | 63   | 0.6181          | 30.1272 |
| 0.303         | 5.6471 | 72   | 0.6174          | 30.1289 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.44.0
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1