peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral-instruct-dutch-syntax-10000
  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-7B-Instruct-v0.1-syntax2023-12-16-21-24

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on a Lassy_small dataset curated for dutch syntax.
10000 samples where used, batch-size 2, runtime 2 epochs.
It achieves the following results on the evaluation set:
- Loss: 0.2522

## 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: 0.03
- training_steps: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7075        | 0.11  | 500   | 0.6710          |
| 0.3569        | 0.21  | 1000  | 0.4348          |
| 0.3458        | 0.32  | 1500  | 0.3517          |
| 0.3325        | 0.42  | 2000  | 0.3151          |
| 0.3014        | 0.53  | 2500  | 0.2928          |
| 0.2304        | 0.63  | 3000  | 0.2817          |
| 0.2984        | 0.74  | 3500  | 0.2736          |
| 0.2283        | 0.84  | 4000  | 0.2680          |
| 0.2399        | 0.95  | 4500  | 0.2640          |
| 0.24          | 1.05  | 5000  | 0.2609          |
| 0.2039        | 1.16  | 5500  | 0.2588          |
| 0.2447        | 1.26  | 6000  | 0.2558          |
| 0.2377        | 1.37  | 6500  | 0.2544          |
| 0.2399        | 1.47  | 7000  | 0.2544          |
| 0.2424        | 1.58  | 7500  | 0.2532          |
| 0.2626        | 1.68  | 8000  | 0.2527          |
| 0.2346        | 1.79  | 8500  | 0.2524          |
| 0.2194        | 1.89  | 9000  | 0.2522          |
| 0.2123        | 2.0   | 9500  | 0.2522          |
| 0.2618        | 2.11  | 10000 | 0.2522          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0