transformers tensorboard safetensors mistral text-generation trl dpo generated_from_trainer base_model:TheBloke/OpenHermes-2-Mistral-7B-GPTQ license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference 4-bit gptq region:us
---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: teamtrack-ai
  results: []
pipeline_tag: text-generation
---

<!-- 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. -->

# teamtrack-ai

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: 0.6303
- Rewards/chosen: -0.0503
- Rewards/rejected: -0.1912
- Rewards/accuracies: 0.875
- Rewards/margins: 0.1409
- Logps/rejected: -190.9696
- Logps/chosen: -89.6439
- Logits/rejected: -2.7104
- Logits/chosen: -2.8594

## 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: 50
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6859        | 0.01  | 10   | 0.6664          | 0.0030         | -0.0376          | 0.6875             | 0.0406          | -189.4330      | -89.1108     | -2.7111         | -2.8122       |
| 0.6888        | 0.01  | 20   | 0.6478          | -0.0110        | -0.0944          | 0.875              | 0.0834          | -190.0014      | -89.2510     | -2.7160         | -2.8235       |
| 0.6397        | 0.01  | 30   | 0.6385          | -0.0256        | -0.1254          | 0.8125             | 0.0997          | -190.3110      | -89.3974     | -2.7148         | -2.8392       |
| 0.6501        | 0.02  | 40   | 0.6365          | -0.0472        | -0.1782          | 0.8125             | 0.1311          | -190.8396      | -89.6128     | -2.7116         | -2.8528       |
| 0.6852        | 0.03  | 50   | 0.6303          | -0.0503        | -0.1912          | 0.875              | 0.1409          | -190.9696      | -89.6439     | -2.7104         | -2.8594       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0