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

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: 1.0971

## 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: 0.00025
- 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: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5253        | 0.02  | 10   | 1.2809          |
| 0.6095        | 0.04  | 20   | 1.3211          |
| 0.6344        | 0.06  | 30   | 1.2456          |
| 0.6884        | 0.08  | 40   | 1.2517          |
| 0.8843        | 0.1   | 50   | 1.1908          |
| 1.1089        | 0.12  | 60   | 1.1586          |
| 1.1403        | 0.14  | 70   | 1.1397          |
| 1.1651        | 0.16  | 80   | 1.1363          |
| 1.2073        | 0.18  | 90   | 1.1258          |
| 1.1118        | 0.2   | 100  | 1.1154          |
| 1.0701        | 0.22  | 110  | 1.1106          |
| 1.1988        | 0.24  | 120  | 1.1064          |
| 1.1405        | 0.26  | 130  | 1.1029          |
| 1.0875        | 0.28  | 140  | 1.0986          |
| 1.1385        | 0.3   | 150  | 1.0971          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2