---
library_name: transformers
license: llama3
base_model: tsavage68/Na_L3_100steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Na_L3_150steps_1e6rate_01beta_cSFTDPO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Na_L3_150steps_1e6rate_01beta_cSFTDPO

This model is a fine-tuned version of [tsavage68/Na_L3_100steps_1e6rate_SFT](https://huggingface.co/tsavage68/Na_L3_100steps_1e6rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/chosen: 1.3563
- Rewards/rejected: -9.7135
- Rewards/accuracies: 1.0
- Rewards/margins: 11.0698
- Logps/rejected: -138.6369
- Logps/chosen: -11.3269
- Logits/rejected: -0.9253
- Logits/chosen: -0.8531

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 150

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0004        | 0.2667 | 50   | 0.0002          | 1.1139         | -7.3111          | 1.0                | 8.4250          | -114.6128      | -13.7514     | -0.9426         | -0.8757       |
| 0.0           | 0.5333 | 100  | 0.0000          | 1.3245         | -9.2705          | 1.0                | 10.5951         | -134.2070      | -11.6448     | -0.9282         | -0.8570       |
| 0.0           | 0.8    | 150  | 0.0000          | 1.3563         | -9.7135          | 1.0                | 11.0698         | -138.6369      | -11.3269     | -0.9253         | -0.8531       |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1