---
library_name: transformers
license: llama3
base_model: tsavage68/Na_L3_100steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Na_L3_350steps_1e7rate_05beta_cSFTDPO
  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. -->

# Na_L3_350steps_1e7rate_05beta_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: 0.0001
- Rewards/chosen: 1.2270
- Rewards/rejected: -8.7510
- Rewards/accuracies: 1.0
- Rewards/margins: 9.9780
- Logps/rejected: -59.0037
- Logps/chosen: -22.4361
- Logits/rejected: -0.9548
- Logits/chosen: -0.8881

## 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-07
- 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: 350

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.501         | 0.2667 | 50   | 0.4173          | 0.1064         | -0.5742          | 1.0                | 0.6806          | -42.6500       | -24.6773     | -0.9522         | -0.8855       |
| 0.0047        | 0.5333 | 100  | 0.0017          | 0.6482         | -5.8984          | 1.0                | 6.5466          | -53.2984       | -23.5937     | -0.9531         | -0.8872       |
| 0.0001        | 0.8    | 150  | 0.0001          | 1.1509         | -8.2919          | 1.0                | 9.4428          | -58.0856       | -22.5883     | -0.9550         | -0.8887       |
| 0.0001        | 1.0667 | 200  | 0.0001          | 1.2083         | -8.6310          | 1.0                | 9.8393          | -58.7638       | -22.4736     | -0.9544         | -0.8879       |
| 0.0001        | 1.3333 | 250  | 0.0001          | 1.2270         | -8.7563          | 1.0                | 9.9833          | -59.0143       | -22.4362     | -0.9536         | -0.8869       |
| 0.0001        | 1.6    | 300  | 0.0001          | 1.2204         | -8.7546          | 1.0                | 9.9751          | -59.0110       | -22.4493     | -0.9548         | -0.8881       |
| 0.0001        | 1.8667 | 350  | 0.0001          | 1.2270         | -8.7510          | 1.0                | 9.9780          | -59.0037       | -22.4361     | -0.9548         | -0.8881       |


### Framework versions

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