---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: out
  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. -->

# out

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3731

## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8286        | 1.0   | 326  | 2.7831          |
| 1.7135        | 2.0   | 652  | 2.9345          |
| 0.5324        | 3.0   | 978  | 3.2704          |
| 0.6332        | 4.0   | 1304 | 3.5215          |
| 0.4136        | 5.0   | 1630 | 3.6194          |
| 0.6789        | 6.0   | 1956 | 4.0601          |
| 0.3095        | 7.0   | 2282 | 3.9619          |
| 0.2139        | 8.0   | 2608 | 4.2931          |
| 0.2027        | 9.0   | 2934 | 4.3885          |
| 0.1184        | 10.0  | 3260 | 4.2185          |
| 0.1612        | 11.0  | 3586 | 4.2801          |
| 0.2609        | 12.0  | 3912 | 4.4705          |
| 0.1564        | 13.0  | 4238 | 4.7184          |
| 0.2344        | 14.0  | 4564 | 4.3517          |
| 0.4565        | 15.0  | 4890 | 4.7181          |
| 0.1623        | 16.0  | 5216 | 4.7855          |
| 0.2934        | 17.0  | 5542 | 5.5058          |
| 0.1151        | 18.0  | 5868 | 4.6761          |
| 0.178         | 19.0  | 6194 | 5.0001          |
| 0.1595        | 20.0  | 6520 | 4.3731          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.17.1
- Tokenizers 0.15.2