---
license: apache-2.0
base_model: mosaicml/mpt-7b-instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mpt_1000_STEPS_1e6_rate_01_beta_DPO
  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. -->

# mpt_1000_STEPS_1e6_rate_01_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: 0.6555
- Rewards/chosen: -0.9911
- Rewards/rejected: -1.1284
- Rewards/accuracies: 0.6220
- Rewards/margins: 0.1372
- Logps/rejected: -32.8413
- Logps/chosen: -30.7037
- Logits/rejected: 12.5582
- Logits/chosen: 12.5620

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7012        | 0.1   | 100  | 0.6878          | 0.0402         | 0.0262           | 0.5516             | 0.0140          | -21.2953       | -20.3903     | 14.1969         | 14.1998       |
| 0.6605        | 0.2   | 200  | 0.6893          | 0.1209         | 0.0818           | 0.5670             | 0.0391          | -20.7398       | -19.5837     | 13.0519         | 13.0548       |
| 0.657         | 0.29  | 300  | 0.6715          | -0.4737        | -0.5524          | 0.5758             | 0.0787          | -27.0816       | -25.5295     | 13.1844         | 13.1876       |
| 0.6934        | 0.39  | 400  | 0.6676          | -0.8625        | -0.9556          | 0.5934             | 0.0932          | -31.1138       | -29.4168     | 12.8462         | 12.8498       |
| 0.6891        | 0.49  | 500  | 0.6641          | -1.0231        | -1.1288          | 0.6088             | 0.1057          | -32.8455       | -31.0235     | 12.6874         | 12.6909       |
| 0.6492        | 0.59  | 600  | 0.6564          | -0.9706        | -1.0997          | 0.6462             | 0.1291          | -32.5548       | -30.4985     | 12.7748         | 12.7786       |
| 0.6512        | 0.68  | 700  | 0.6569          | -0.9892        | -1.1224          | 0.6220             | 0.1332          | -32.7819       | -30.6846     | 12.6401         | 12.6438       |
| 0.6687        | 0.78  | 800  | 0.6556          | -0.9937        | -1.1300          | 0.6330             | 0.1363          | -32.8571       | -30.7290     | 12.5528         | 12.5566       |
| 0.6668        | 0.88  | 900  | 0.6552          | -0.9899        | -1.1276          | 0.6308             | 0.1376          | -32.8330       | -30.6916     | 12.5557         | 12.5594       |
| 0.5867        | 0.98  | 1000 | 0.6555          | -0.9911        | -1.1284          | 0.6220             | 0.1372          | -32.8413       | -30.7037     | 12.5582         | 12.5620       |


### Framework versions

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