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

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: 2.7849

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.3541        | 0.6757  | 25   | 1.4800          |
| 0.8644        | 1.3514  | 50   | 1.4804          |
| 0.8449        | 2.0270  | 75   | 1.5426          |
| 0.5501        | 2.7027  | 100  | 1.6733          |
| 0.2691        | 3.3784  | 125  | 1.8077          |
| 0.2187        | 4.0541  | 150  | 1.9603          |
| 0.1408        | 4.7297  | 175  | 2.0132          |
| 0.0892        | 5.4054  | 200  | 2.2048          |
| 0.0891        | 6.0811  | 225  | 2.2487          |
| 0.0633        | 6.7568  | 250  | 2.2303          |
| 0.0516        | 7.4324  | 275  | 2.2637          |
| 0.0479        | 8.1081  | 300  | 2.2366          |
| 0.0486        | 8.7838  | 325  | 2.3266          |
| 0.0435        | 9.4595  | 350  | 2.5567          |
| 0.0389        | 10.1351 | 375  | 2.6020          |
| 0.04          | 10.8108 | 400  | 2.7252          |
| 0.0341        | 11.4865 | 425  | 2.6801          |
| 0.0357        | 12.1622 | 450  | 2.7342          |
| 0.0363        | 12.8378 | 475  | 2.7706          |
| 0.0342        | 13.5135 | 500  | 2.7849          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0