---
license: llama3
base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Summary_L3_200steps_1e7rate_03beta_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. -->

# Summary_L3_200steps_1e7rate_03beta_CSFTDPO

This model is a fine-tuned version of [tsavage68/Summary_L3_1000steps_1e7rate_SFT2](https://huggingface.co/tsavage68/Summary_L3_1000steps_1e7rate_SFT2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6121
- Rewards/chosen: 0.0271
- Rewards/rejected: -0.2888
- Rewards/accuracies: 0.1400
- Rewards/margins: 0.3159
- Logps/rejected: -16.2264
- Logps/chosen: -9.2923
- Logits/rejected: -1.0930
- Logits/chosen: -1.0946

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6831        | 0.2004 | 50   | 0.6816          | 0.0015         | -0.0238          | 0.1300             | 0.0253          | -15.3431       | -9.3779      | -1.0962         | -1.0977       |
| 0.6795        | 0.4008 | 100  | 0.6463          | 0.0093         | -0.1112          | 0.1400             | 0.1205          | -15.6344       | -9.3518      | -1.0932         | -1.0948       |
| 0.6344        | 0.6012 | 150  | 0.6127          | 0.0273         | -0.2824          | 0.1400             | 0.3097          | -16.2051       | -9.2918      | -1.0930         | -1.0947       |
| 0.6204        | 0.8016 | 200  | 0.6121          | 0.0271         | -0.2888          | 0.1400             | 0.3159          | -16.2264       | -9.2923      | -1.0930         | -1.0946       |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1