|
--- |
|
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 |
