transformers pytorch mistral text-generation generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: out
  results: []
---

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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# out

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3754

## 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: 6e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9424        | 0.02  | 1    | 1.0092          |
| 1.0216        | 0.2   | 13   | 1.0002          |
| 0.9928        | 0.41  | 26   | 1.0070          |
| 0.9191        | 0.61  | 39   | 1.0096          |
| 0.9276        | 0.81  | 52   | 1.0053          |
| 0.5839        | 1.02  | 65   | 1.0082          |
| 0.5495        | 1.22  | 78   | 1.0552          |
| 0.4987        | 1.42  | 91   | 1.0670          |
| 0.6065        | 1.62  | 104  | 1.0635          |
| 0.5086        | 1.83  | 117  | 1.0656          |
| 0.3216        | 2.03  | 130  | 1.1148          |
| 0.3204        | 2.23  | 143  | 1.1933          |
| 0.2575        | 2.44  | 156  | 1.2069          |
| 0.2721        | 2.64  | 169  | 1.1942          |
| 0.2796        | 2.84  | 182  | 1.2019          |
| 0.1414        | 3.05  | 195  | 1.2782          |
| 0.124         | 3.25  | 208  | 1.3240          |
| 0.1385        | 3.45  | 221  | 1.3561          |
| 0.1077        | 3.66  | 234  | 1.3740          |
| 0.0966        | 3.86  | 247  | 1.3754          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.14.0
