---
base_model: tsavage68/chat_600STEPS_1e8rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: chat_400_STEPS_01beta_5e7rate_CDPOSFT
  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. -->

# chat_400_STEPS_01beta_5e7rate_CDPOSFT

This model is a fine-tuned version of [tsavage68/chat_600STEPS_1e8rate_SFT](https://huggingface.co/tsavage68/chat_600STEPS_1e8rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6851
- Rewards/chosen: -0.0303
- Rewards/rejected: -0.0485
- Rewards/accuracies: 0.5077
- Rewards/margins: 0.0182
- Logps/rejected: -19.2868
- Logps/chosen: -17.0576
- Logits/rejected: -0.6041
- Logits/chosen: -0.6040

## 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: 5e-07
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 400

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6924        | 0.0977 | 50   | 0.6933          | 0.0017         | 0.0020           | 0.4154             | -0.0003         | -18.7815       | -16.7372     | -0.5990         | -0.5988       |
| 0.6889        | 0.1953 | 100  | 0.6896          | -0.0103        | -0.0178          | 0.4769             | 0.0075          | -18.9805       | -16.8580     | -0.6027         | -0.6025       |
| 0.692         | 0.2930 | 150  | 0.6885          | -0.0339        | -0.0443          | 0.4967             | 0.0104          | -19.2452       | -17.0936     | -0.6039         | -0.6038       |
| 0.6898        | 0.3906 | 200  | 0.6871          | -0.0252        | -0.0389          | 0.5033             | 0.0137          | -19.1906       | -17.0066     | -0.6024         | -0.6022       |
| 0.6911        | 0.4883 | 250  | 0.6862          | -0.0287        | -0.0445          | 0.5099             | 0.0159          | -19.2474       | -17.0415     | -0.6037         | -0.6036       |
| 0.6854        | 0.5859 | 300  | 0.6852          | -0.0303        | -0.0482          | 0.5121             | 0.0179          | -19.2838       | -17.0573     | -0.6047         | -0.6046       |
| 0.683         | 0.6836 | 350  | 0.6849          | -0.0303        | -0.0489          | 0.5231             | 0.0186          | -19.2907       | -17.0575     | -0.6039         | -0.6037       |
| 0.6853        | 0.7812 | 400  | 0.6851          | -0.0303        | -0.0485          | 0.5077             | 0.0182          | -19.2868       | -17.0576     | -0.6041         | -0.6040       |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1