---
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-3.3.3-Mistral-7b-Multilanguage-1-epoch-3.2.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ZeroShot-3.3.3-Mistral-7b-Multilanguage-1-epoch-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: 0.4078

## 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: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 201
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5561        | 0.1   | 20   | 0.8398          |
| 0.594         | 0.2   | 40   | 0.5099          |
| 0.4849        | 0.3   | 60   | 0.4661          |
| 0.4516        | 0.4   | 80   | 0.4328          |
| 0.4237        | 0.5   | 100  | 0.4192          |
| 0.4235        | 0.59  | 120  | 0.4142          |
| 0.4128        | 0.69  | 140  | 0.4110          |
| 0.4152        | 0.79  | 160  | 0.4090          |
| 0.4092        | 0.89  | 180  | 0.4080          |
| 0.41          | 0.99  | 200  | 0.4078          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.1