---
library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama0-3-8b-v0.1-p-0.025-lr5e-7-e1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama0-3-8b-v0.1-p-0.025-lr5e-7-e1

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6532
- Rewards/chosen: -0.5100
- Rewards/rejected: -0.5735
- Rewards/accuracies: 0.5887
- Rewards/margins: 0.0635
- Logps/rejected: -144.1059
- Logps/chosen: -139.2881
- Logits/rejected: 0.1540
- Logits/chosen: 0.1389

## 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: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6771        | 0.2137 | 100  | 0.6768          | -0.0374        | -0.0438          | 0.5685             | 0.0063          | -91.1355       | -92.0372     | 0.0615          | 0.0416        |
| 0.6683        | 0.4275 | 200  | 0.6671          | -0.1690        | -0.1914          | 0.6129             | 0.0224          | -105.8998      | -105.1957    | 0.1030          | 0.0845        |
| 0.6575        | 0.6412 | 300  | 0.6582          | -0.3685        | -0.4154          | 0.6089             | 0.0470          | -128.3006      | -125.1377    | 0.1500          | 0.1335        |
| 0.6558        | 0.8549 | 400  | 0.6541          | -0.4822        | -0.5419          | 0.5927             | 0.0597          | -140.9456      | -136.5091    | 0.1504          | 0.1348        |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0