---
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_200steps_1e7rate_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_M2_200steps_1e7rate_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: 0.0000
- Rewards/chosen: 2.3496
- Rewards/rejected: -12.1508
- Rewards/accuracies: 1.0
- Rewards/margins: 14.5003
- Logps/rejected: -201.4312
- Logps/chosen: -24.6368
- Logits/rejected: -2.3632
- Logits/chosen: -2.3967

## 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: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0           | 0.2667 | 50   | 0.0000          | 2.1916         | -10.0354         | 1.0                | 12.2270         | -180.2773      | -26.2167     | -2.3982         | -2.4261       |
| 0.0           | 0.5333 | 100  | 0.0000          | 2.3125         | -11.6667         | 1.0                | 13.9792         | -196.5901      | -25.0075     | -2.3692         | -2.4015       |
| 0.0           | 0.8    | 150  | 0.0000          | 2.3477         | -12.1123         | 1.0                | 14.4600         | -201.0466      | -24.6557     | -2.3646         | -2.3980       |
| 0.0           | 1.0667 | 200  | 0.0000          | 2.3496         | -12.1508         | 1.0                | 14.5003         | -201.4312      | -24.6368     | -2.3632         | -2.3967       |


### Framework versions

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