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

# mistral-journal-finetune

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: 2.3365

## 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: 2.5e-05
- train_batch_size: 2
- 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: 1
- training_steps: 500

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.9309        | 2.0833  | 25   | 1.6414          |
| 0.5146        | 4.1667  | 50   | 1.8892          |
| 0.2481        | 6.25    | 75   | 1.9643          |
| 0.1804        | 8.3333  | 100  | 1.9184          |
| 0.1683        | 10.4167 | 125  | 1.9770          |
| 0.1582        | 12.5    | 150  | 2.1538          |
| 0.1591        | 14.5833 | 175  | 2.1592          |
| 0.1509        | 16.6667 | 200  | 2.1474          |
| 0.1478        | 18.75   | 225  | 2.1839          |
| 0.1465        | 20.8333 | 250  | 2.2255          |
| 0.1465        | 22.9167 | 275  | 2.2356          |
| 0.1427        | 25.0    | 300  | 2.2581          |
| 0.144         | 27.0833 | 325  | 2.2707          |
| 0.139         | 29.1667 | 350  | 2.2694          |
| 0.1437        | 31.25   | 375  | 2.2956          |
| 0.141         | 33.3333 | 400  | 2.3087          |
| 0.1359        | 35.4167 | 425  | 2.3056          |
| 0.1385        | 37.5    | 450  | 2.3213          |
| 0.1363        | 39.5833 | 475  | 2.3332          |
| 0.1359        | 41.6667 | 500  | 2.3365          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1