transformers safetensors mistral text-generation generated_from_trainer base_model:OpenPipe/mistral-ft-optimized-1227 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference 8-bit bitsandbytes region:us
---
license: apache-2.0
base_model: OpenPipe/mistral-ft-optimized-1227
tags:
- generated_from_trainer
model-index:
- name: models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b
  results: []
---

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# models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b

This model is a fine-tuned version of [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0179

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4795        | 0.02  | 1    | 0.4746          |
| 0.0282        | 0.2   | 12   | 0.0309          |
| 0.0168        | 0.4   | 24   | 0.0242          |
| 0.0216        | 0.59  | 36   | 0.0208          |
| 0.0167        | 0.79  | 48   | 0.0189          |
| 0.0157        | 0.99  | 60   | 0.0186          |
| 0.0156        | 1.19  | 72   | 0.0177          |
| 0.0135        | 1.38  | 84   | 0.0182          |
| 0.0139        | 1.58  | 96   | 0.0178          |
| 0.0169        | 1.78  | 108  | 0.0178          |
| 0.0111        | 1.98  | 120  | 0.0179          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
