---
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_100steps_1e7rate_03beta_cSFTDPO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Na_M2_100steps_1e7rate_03beta_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: 0.0000
- Rewards/chosen: 2.8383
- Rewards/rejected: -9.2541
- Rewards/accuracies: 1.0
- Rewards/margins: 12.0924
- Logps/rejected: -110.7703
- Logps/chosen: -38.6713
- Logits/rejected: -2.5103
- Logits/chosen: -2.5250

## 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: 100

### 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   | 0.0000          | 2.3360         | -8.0685          | 1.0                | 10.4045         | -106.8185      | -40.3458     | -2.5169         | -2.5309       |
| 0.0           | 0.5333 | 100  | 0.0000          | 2.8383         | -9.2541          | 1.0                | 12.0924         | -110.7703      | -38.6713     | -2.5103         | -2.5250       |


### Framework versions

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