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# qlora-out

This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2349

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5023        | 0.02  | 1    | 0.4962          |
| 0.3228        | 0.16  | 10   | 0.3062          |
| 0.2733        | 0.33  | 20   | 0.2711          |
| 0.2406        | 0.49  | 30   | 0.2580          |
| 0.263         | 0.66  | 40   | 0.2500          |
| 0.2444        | 0.82  | 50   | 0.2442          |
| 0.2271        | 0.98  | 60   | 0.2404          |
| 0.2053        | 1.11  | 70   | 0.2405          |
| 0.2111        | 1.28  | 80   | 0.2381          |
| 0.2147        | 1.44  | 90   | 0.2361          |
| 0.2005        | 1.61  | 100  | 0.2333          |
| 0.1968        | 1.77  | 110  | 0.2319          |
| 0.1954        | 1.93  | 120  | 0.2298          |
| 0.1658        | 2.07  | 130  | 0.2317          |
| 0.1706        | 2.23  | 140  | 0.2357          |
| 0.1591        | 2.39  | 150  | 0.2343          |
| 0.1645        | 2.56  | 160  | 0.2348          |
| 0.1664        | 2.72  | 170  | 0.2348          |
| 0.163         | 2.89  | 180  | 0.2349          |


### Framework versions

- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "qlora-out", "results": []}]}
peft safetensors mistral generated_from_trainer base_model:teknium/OpenHermes-2.5-Mistral-7B license:apache-2.0 4-bit region:us