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---
base_model: unsloth/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- orpo
- unsloth
- generated_from_trainer
model-index:
- name: outputs_test_new
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. -->
# outputs_test_new
This model is a fine-tuned version of [unsloth/Llama-3.2-3B-Instruct](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8289
- Rewards/chosen: -0.0732
- Rewards/rejected: -0.1379
- Rewards/accuracies: 0.8333
- Rewards/margins: 0.0648
- Logps/rejected: -1.3794
- Logps/chosen: -0.7316
- Logits/rejected: -0.7685
- Logits/chosen: -0.1043
- Nll Loss: 0.7863
- Log Odds Ratio: -0.3910
- Log Odds Chosen: 0.9677
## 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: 8e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.7899 | 0.5747 | 50 | 0.8337 | -0.0734 | -0.1339 | 0.8333 | 0.0605 | -1.3386 | -0.7339 | -0.7673 | -0.1094 | 0.7900 | -0.4029 | 0.9116 |
| 0.4669 | 1.1494 | 100 | 0.8308 | -0.0734 | -0.1373 | 0.8333 | 0.0640 | -1.3735 | -0.7335 | -0.7682 | -0.1034 | 0.7880 | -0.3928 | 0.9564 |
| 0.6859 | 1.7241 | 150 | 0.8289 | -0.0732 | -0.1379 | 0.8333 | 0.0648 | -1.3794 | -0.7316 | -0.7685 | -0.1043 | 0.7863 | -0.3910 | 0.9677 |
### Framework versions
- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1 |