peft safetensors mistral trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: ZeroShot-3.3.17-Mistral-7b-Multilanguage-3.2.0
  results: []
---

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# ZeroShot-3.3.17-Mistral-7b-Multilanguage-3.2.0

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2597

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.451         | 0.12  | 100  | 0.4237          |
| 0.4109        | 0.25  | 200  | 0.4063          |
| 0.3959        | 0.37  | 300  | 0.3975          |
| 0.388         | 0.5   | 400  | 0.3826          |
| 0.3727        | 0.62  | 500  | 0.3739          |
| 0.3743        | 0.74  | 600  | 0.3625          |
| 0.3631        | 0.87  | 700  | 0.3530          |
| 0.3491        | 0.99  | 800  | 0.3418          |
| 0.2781        | 1.12  | 900  | 0.3402          |
| 0.2831        | 1.24  | 1000 | 0.3284          |
| 0.2788        | 1.36  | 1100 | 0.3187          |
| 0.2727        | 1.49  | 1200 | 0.3078          |
| 0.2632        | 1.61  | 1300 | 0.2978          |
| 0.2568        | 1.74  | 1400 | 0.2882          |
| 0.2425        | 1.86  | 1500 | 0.2789          |
| 0.2388        | 1.98  | 1600 | 0.2694          |
| 0.1521        | 2.11  | 1700 | 0.2774          |
| 0.1523        | 2.23  | 1800 | 0.2732          |
| 0.147         | 2.36  | 1900 | 0.2692          |
| 0.1443        | 2.48  | 2000 | 0.2655          |
| 0.1427        | 2.6   | 2100 | 0.2618          |
| 0.1427        | 2.73  | 2200 | 0.2605          |
| 0.1422        | 2.85  | 2300 | 0.2599          |
| 0.1411        | 2.98  | 2400 | 0.2597          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2