tensorboard safetensors trl dpo generated_from_trainer base_model:TheBloke/OpenHermes-2-Mistral-7B-GPTQ license:apache-2.0 region:us
---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral-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. -->

# mistral-dpo

This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7137
- Rewards/chosen: 1.0722
- Rewards/rejected: 0.8993
- Rewards/accuracies: 0.5962
- Rewards/margins: 0.1729
- Logps/rejected: -188.1420
- Logps/chosen: -180.8729
- Logits/rejected: -2.4148
- Logits/chosen: -2.4328

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 250
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7053        | 0.0   | 10   | 0.6892          | 0.0818         | 0.0724           | 0.5962             | 0.0094          | -196.4110      | -190.7768    | -2.3946         | -2.4152       |
| 0.6805        | 0.0   | 20   | 0.6918          | -0.0354        | -0.0484          | 0.6346             | 0.0130          | -197.6190      | -191.9491    | -2.4006         | -2.4157       |
| 0.834         | 0.0   | 30   | 0.7086          | -0.2432        | -0.2641          | 0.5962             | 0.0210          | -199.7762      | -194.0263    | -2.4164         | -2.4252       |
| 0.8729        | 0.0   | 40   | 0.6981          | -0.1038        | -0.1416          | 0.6058             | 0.0377          | -198.5504      | -192.6330    | -2.4265         | -2.4351       |
| 0.838         | 0.0   | 50   | 0.6864          | 0.2782         | 0.2234           | 0.6058             | 0.0549          | -194.9011      | -188.8124    | -2.4238         | -2.4335       |
| 0.7253        | 0.0   | 60   | 0.6779          | 0.5564         | 0.4647           | 0.5865             | 0.0917          | -192.4881      | -186.0311    | -2.4271         | -2.4351       |
| 0.5718        | 0.01  | 70   | 0.6798          | 0.8872         | 0.7700           | 0.5769             | 0.1172          | -189.4352      | -182.7231    | -2.4266         | -2.4337       |
| 0.6437        | 0.01  | 80   | 0.6759          | 1.0681         | 0.9182           | 0.5096             | 0.1500          | -187.9532      | -180.9136    | -2.4499         | -2.4314       |
| 0.6098        | 0.01  | 90   | 0.7191          | 0.5345         | -0.0458          | 0.5577             | 0.5803          | -197.5928      | -186.2494    | -2.4888         | -2.4677       |
| 0.461         | 0.01  | 100  | 0.6948          | 1.0460         | 0.6785           | 0.5481             | 0.3675          | -190.3493      | -181.1343    | -2.4687         | -2.4447       |
| 1.0876        | 0.01  | 110  | 0.7081          | 1.0687         | 0.9388           | 0.5288             | 0.1299          | -187.7468      | -180.9077    | -2.4276         | -2.4196       |
| 0.5964        | 0.01  | 120  | 0.7045          | 0.9387         | 0.7995           | 0.5673             | 0.1391          | -189.1394      | -182.2079    | -2.4186         | -2.4276       |
| 0.6637        | 0.01  | 130  | 0.7018          | 0.9248         | 0.7781           | 0.5865             | 0.1466          | -189.3533      | -182.3472    | -2.4240         | -2.4395       |
| 0.5702        | 0.01  | 140  | 0.6985          | 0.8728         | 0.7128           | 0.6058             | 0.1600          | -190.0070      | -182.8667    | -2.4273         | -2.4452       |
| 0.8064        | 0.01  | 150  | 0.6941          | 0.8313         | 0.6588           | 0.6058             | 0.1725          | -190.5471      | -183.2818    | -2.4245         | -2.4424       |
| 0.7656        | 0.01  | 160  | 0.6877          | 0.7222         | 0.5277           | 0.5962             | 0.1945          | -191.8579      | -184.3729    | -2.4206         | -2.4390       |
| 0.6725        | 0.01  | 170  | 0.6949          | 0.8229         | 0.6362           | 0.5865             | 0.1867          | -190.7732      | -183.3658    | -2.4268         | -2.4442       |
| 0.6524        | 0.01  | 180  | 0.7100          | 0.9856         | 0.8195           | 0.5673             | 0.1660          | -188.9394      | -181.7392    | -2.4317         | -2.4486       |
| 1.0287        | 0.02  | 190  | 0.7161          | 1.0244         | 0.8611           | 0.5769             | 0.1634          | -188.5242      | -181.3504    | -2.4263         | -2.4431       |
| 0.8451        | 0.02  | 200  | 0.7186          | 1.0966         | 0.9354           | 0.5769             | 0.1613          | -187.7810      | -180.6283    | -2.4266         | -2.4435       |
| 0.6098        | 0.02  | 210  | 0.7159          | 1.1066         | 0.9427           | 0.5865             | 0.1639          | -187.7074      | -180.5288    | -2.4209         | -2.4382       |
| 0.5698        | 0.02  | 220  | 0.7149          | 1.1019         | 0.9356           | 0.5962             | 0.1663          | -187.7789      | -180.5757    | -2.4156         | -2.4336       |
| 0.7013        | 0.02  | 230  | 0.7145          | 1.0913         | 0.9216           | 0.5962             | 0.1697          | -187.9192      | -180.6817    | -2.4142         | -2.4319       |
| 2.6822        | 0.02  | 240  | 0.7143          | 1.0768         | 0.9049           | 0.5962             | 0.1720          | -188.0860      | -180.8263    | -2.4140         | -2.4322       |
| 0.9203        | 0.02  | 250  | 0.7137          | 1.0722         | 0.8993           | 0.5962             | 0.1729          | -188.1420      | -180.8729    | -2.4148         | -2.4328       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1
