---
license: apache-2.0
base_model: mosaicml/mpt-7b-instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mpt_1000_STEPS_1e8_rate_03_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_1e8_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: 0.6941
- Rewards/chosen: -1.2875
- Rewards/rejected: -1.6132
- Rewards/accuracies: 0.6154
- Rewards/margins: 0.3257
- Logps/rejected: -24.7839
- Logps/chosen: -23.3672
- Logits/rejected: 14.1648
- Logits/chosen: 14.1681

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7473        | 0.1   | 100  | 0.6927          | 0.1811         | 0.1159           | 0.5582             | 0.0651          | -21.3256       | -20.4301     | 14.3166         | 14.3195       |
| 0.7098        | 0.2   | 200  | 0.7624          | 0.6571         | 0.5345           | 0.5714             | 0.1226          | -20.4884       | -19.4780     | 14.1537         | 14.1566       |
| 0.7516        | 0.29  | 300  | 0.7505          | -0.8487        | -1.0927          | 0.5429             | 0.2440          | -23.7428       | -22.4895     | 14.5590         | 14.5620       |
| 0.7762        | 0.39  | 400  | 0.7476          | -2.2343        | -2.4798          | 0.5692             | 0.2455          | -26.5171       | -25.2608     | 14.0064         | 14.0094       |
| 0.8328        | 0.49  | 500  | 0.7228          | -1.5283        | -1.7877          | 0.5736             | 0.2594          | -25.1329       | -23.8488     | 14.1811         | 14.1843       |
| 0.625         | 0.59  | 600  | 0.7006          | -1.3183        | -1.6353          | 0.5978             | 0.3170          | -24.8281       | -23.4288     | 14.3453         | 14.3486       |
| 0.7164        | 0.68  | 700  | 0.7015          | -1.2944        | -1.6029          | 0.6022             | 0.3084          | -24.7632       | -23.3811     | 14.2239         | 14.2271       |
| 0.6844        | 0.78  | 800  | 0.6985          | -1.2758        | -1.5914          | 0.6198             | 0.3157          | -24.7403       | -23.3437     | 14.1630         | 14.1663       |
| 0.6996        | 0.88  | 900  | 0.6971          | -1.2896        | -1.6092          | 0.6110             | 0.3196          | -24.7758       | -23.3713     | 14.1673         | 14.1706       |
| 0.6352        | 0.98  | 1000 | 0.6941          | -1.2875        | -1.6132          | 0.6154             | 0.3257          | -24.7839       | -23.3672     | 14.1648         | 14.1681       |


### Framework versions

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