---
license: apache-2.0
base_model: mosaicml/mpt-7b-instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mpt_1000_STEPS_1e5_rate_03_beta_DPO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mpt_1000_STEPS_1e5_rate_03_beta_DPO

This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co./mosaicml/mpt-7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6933
- Rewards/chosen: -0.0008
- Rewards/rejected: -0.0019
- Rewards/accuracies: 0.5187
- Rewards/margins: 0.0011
- Logps/rejected: -21.5638
- Logps/chosen: -20.7947
- Logits/rejected: 14.2524
- Logits/chosen: 14.2550

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6965        | 0.1   | 100  | 0.6951          | -0.0017        | 0.0013           | 0.4681             | -0.0029         | -21.5532       | -20.7977     | 14.2557         | 14.2583       |
| 0.6918        | 0.2   | 200  | 0.6942          | -0.0054        | -0.0044          | 0.5011             | -0.0010         | -21.5722       | -20.8104     | 14.2575         | 14.2601       |
| 0.6965        | 0.29  | 300  | 0.6941          | -0.0016        | -0.0010          | 0.4945             | -0.0006         | -21.5608       | -20.7975     | 14.2549         | 14.2575       |
| 0.6906        | 0.39  | 400  | 0.6946          | 0.0001         | 0.0020           | 0.4747             | -0.0019         | -21.5507       | -20.7919     | 14.2494         | 14.2520       |
| 0.6883        | 0.49  | 500  | 0.6972          | -0.0019        | 0.0050           | 0.4484             | -0.0069         | -21.5408       | -20.7986     | 14.2521         | 14.2547       |
| 0.6867        | 0.59  | 600  | 0.6969          | -0.0054        | 0.0010           | 0.4418             | -0.0064         | -21.5541       | -20.8103     | 14.2502         | 14.2528       |
| 0.6937        | 0.68  | 700  | 0.6939          | 0.0015         | 0.0020           | 0.5275             | -0.0005         | -21.5508       | -20.7871     | 14.2547         | 14.2573       |
| 0.6855        | 0.78  | 800  | 0.6933          | -0.0008        | -0.0017          | 0.5099             | 0.0009          | -21.5631       | -20.7947     | 14.2522         | 14.2548       |
| 0.6918        | 0.88  | 900  | 0.6933          | -0.0008        | -0.0019          | 0.5187             | 0.0011          | -21.5638       | -20.7947     | 14.2524         | 14.2550       |
| 0.6957        | 0.98  | 1000 | 0.6933          | -0.0008        | -0.0019          | 0.5187             | 0.0011          | -21.5638       | -20.7947     | 14.2524         | 14.2550       |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2