---
base_model: seanmemery/MLP-FinLLM-7b-it
tags:
- trl
- dpo
- unsloth
- generated_from_trainer
model-index:
- name: MLP-FinLLM-dpo-7b
  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. -->

# MLP-FinLLM-dpo-7b

This model is a fine-tuned version of [seanmemery/MLP-FinLLM-7b-it](https://huggingface.co/seanmemery/MLP-FinLLM-7b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.2447
- Rewards/chosen: -124.0
- Rewards/rejected: -119.0
- Rewards/accuracies: 0.5207
- Rewards/margins: -5.125
- Logps/rejected: -1216.0
- Logps/chosen: -1280.0
- Logits/rejected: -5.5625
- Logits/chosen: -5.5625

## 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: 0.003
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 27.875        | 0.69  | 50   | 33.2248         | -154.0         | -137.0           | 0.5041             | -16.625         | -1392.0        | -1576.0      | -7.9062         | -7.9062       |
| 14.375        | 1.39  | 100  | 11.2447         | -124.0         | -119.0           | 0.5207             | -5.125          | -1216.0        | -1280.0      | -5.5625         | -5.5625       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.18.0
- Tokenizers 0.15.2