---
library_name: transformers
license: apache-2.0
base_model: tsavage68/Na_M2_1000steps_1e7_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Na_M2_300steps_1e8rate_01beta_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_M2_300steps_1e8rate_01beta_cSFTDPO

This model is a fine-tuned version of [tsavage68/Na_M2_1000steps_1e7_SFT](https://huggingface.co/tsavage68/Na_M2_1000steps_1e7_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6653
- Rewards/chosen: 0.0172
- Rewards/rejected: -0.0396
- Rewards/accuracies: 0.9100
- Rewards/margins: 0.0568
- Logps/rejected: -80.3192
- Logps/chosen: -47.9599
- Logits/rejected: -2.5356
- Logits/chosen: -2.5482

## 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-08
- 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: 300

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6929        | 0.2667 | 50   | 0.6931          | -0.0010        | -0.0014          | 0.5700             | 0.0003          | -79.9371       | -48.1427     | -2.5355         | -2.5481       |
| 0.6881        | 0.5333 | 100  | 0.6832          | 0.0062         | -0.0142          | 0.6900             | 0.0204          | -80.0656       | -48.0704     | -2.5357         | -2.5482       |
| 0.67          | 0.8    | 150  | 0.6690          | 0.0151         | -0.0343          | 0.9000             | 0.0494          | -80.2661       | -47.9813     | -2.5359         | -2.5485       |
| 0.6726        | 1.0667 | 200  | 0.6633          | 0.0167         | -0.0444          | 0.9500             | 0.0611          | -80.3677       | -47.9656     | -2.5356         | -2.5482       |
| 0.6615        | 1.3333 | 250  | 0.6653          | 0.0172         | -0.0396          | 0.9100             | 0.0568          | -80.3192       | -47.9599     | -2.5356         | -2.5482       |
| 0.667         | 1.6    | 300  | 0.6653          | 0.0172         | -0.0396          | 0.9100             | 0.0568          | -80.3192       | -47.9599     | -2.5356         | -2.5482       |


### Framework versions

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