---
license: llama3
base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Summary_L3_300steps_1e7rate_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_300steps_1e7rate_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: 0.6344
- Rewards/chosen: 0.0119
- Rewards/rejected: -0.1548
- Rewards/accuracies: 0.1400
- Rewards/margins: 0.1666
- Logps/rejected: -16.8115
- Logps/chosen: -9.2641
- Logits/rejected: -1.0932
- Logits/chosen: -1.0948

## 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: 300

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6896        | 0.2004 | 50   | 0.6887          | 0.0011         | -0.0081          | 0.1300             | 0.0092          | -15.3448       | -9.3720      | -1.0951         | -1.0966       |
| 0.6884        | 0.4008 | 100  | 0.6748          | 0.0029         | -0.0369          | 0.1400             | 0.0397          | -15.6323       | -9.3540      | -1.0944         | -1.0960       |
| 0.6604        | 0.6012 | 150  | 0.6466          | 0.0088         | -0.1100          | 0.1400             | 0.1188          | -16.3635       | -9.2949      | -1.0927         | -1.0944       |
| 0.6427        | 0.8016 | 200  | 0.6367          | 0.0112         | -0.1460          | 0.1400             | 0.1572          | -16.7239       | -9.2705      | -1.0934         | -1.0951       |
| 0.6476        | 1.0020 | 250  | 0.6341          | 0.0133         | -0.1549          | 0.1400             | 0.1682          | -16.8126       | -9.2497      | -1.0935         | -1.0951       |
| 0.6481        | 1.2024 | 300  | 0.6344          | 0.0119         | -0.1548          | 0.1400             | 0.1666          | -16.8115       | -9.2641      | -1.0932         | -1.0948       |


### Framework versions

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