---
license: llama3
base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Summary_L3_150steps_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. -->

# Summary_L3_150steps_1e8rate_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: 0.6919
- Rewards/chosen: 0.0011
- Rewards/rejected: -0.0016
- Rewards/accuracies: 0.0800
- Rewards/margins: 0.0027
- Logps/rejected: -15.2799
- Logps/chosen: -9.3721
- Logits/rejected: -1.0959
- Logits/chosen: -1.0973

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6914        | 0.2004 | 50   | 0.6919          | 0.0004         | -0.0022          | 0.0900             | 0.0026          | -15.2856       | -9.3787      | -1.0954         | -1.0968       |
| 0.6938        | 0.4008 | 100  | 0.6918          | 0.0000         | -0.0027          | 0.1050             | 0.0027          | -15.2908       | -9.3826      | -1.0961         | -1.0975       |
| 0.6936        | 0.6012 | 150  | 0.6919          | 0.0011         | -0.0016          | 0.0800             | 0.0027          | -15.2799       | -9.3721      | -1.0959         | -1.0973       |


### Framework versions

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