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---
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-2-lr5e-6-e1
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. -->
# Llama0-3-8b-v0.1-p-2-lr5e-6-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: 0.0071
- Rewards/chosen: -325.0106
- Rewards/rejected: -326.4964
- Rewards/accuracies: 0.4839
- Rewards/margins: 1.4858
- Logps/rejected: -32736.4023
- Logps/chosen: -32589.3574
- Logits/rejected: 15.2095
- Logits/chosen: 15.1707
## 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-06
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0157 | 0.2137 | 100 | 0.0113 | -210.0611 | -211.0992 | 0.4597 | 1.0381 | -21196.6719 | -21094.4004 | 13.2797 | 13.2492 |
| 0.0103 | 0.4275 | 200 | 0.0100 | -295.4855 | -293.2994 | 0.5081 | -2.1861 | -29416.6973 | -29636.8457 | 14.5637 | 14.5474 |
| 0.0074 | 0.6412 | 300 | 0.0081 | -286.9739 | -284.4362 | 0.4718 | -2.5377 | -28530.3730 | -28785.6816 | 14.5532 | 14.6383 |
| 0.0061 | 0.8549 | 400 | 0.0073 | -253.9528 | -254.9697 | 0.5040 | 1.0169 | -25583.7266 | -25483.5762 | 13.4697 | 13.4536 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0
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