---
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: 0.6707
- Rewards/chosen: 0.0674
- Rewards/rejected: -0.0381
- Rewards/accuracies: 0.2975
- Rewards/margins: 0.1055
- Logps/rejected: -22.125
- Logps/chosen: -29.875
- Logits/rejected: -5.8438
- Logits/chosen: -5.875

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6367        | 0.69  | 50   | 0.6707          | 0.0674         | -0.0381          | 0.2975             | 0.1055          | -22.125        | -29.875      | -5.8438         | -5.875        |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2