---
license: llama3
base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Summary_L3_150steps_1e6rate_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. -->

# Summary_L3_150steps_1e6rate_01beta_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: 0.5961
- Rewards/chosen: -0.0077
- Rewards/rejected: -1.5938
- Rewards/accuracies: 0.1400
- Rewards/margins: 1.5861
- Logps/rejected: -31.2014
- Logps/chosen: -9.4593
- Logits/rejected: -1.2000
- Logits/chosen: -1.1980

## 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: 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: 150

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.571         | 0.2004 | 50   | 0.5986          | 0.0271         | -0.6059          | 0.1400             | 0.6329          | -21.3224       | -9.1122      | -1.1153         | -1.1163       |
| 0.6585        | 0.4008 | 100  | 0.5962          | 0.0177         | -1.2883          | 0.1400             | 1.3060          | -28.1472       | -9.2058      | -1.1739         | -1.1725       |
| 0.6238        | 0.6012 | 150  | 0.5961          | -0.0077        | -1.5938          | 0.1400             | 1.5861          | -31.2014       | -9.4593      | -1.2000         | -1.1980       |


### Framework versions

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