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-3.3.9-Mistral-7b-Multilanguage-3.2.0
  results: []
---

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# ZeroShot-3.3.9-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: 0.3828

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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7318        | 0.03  | 50   | 0.7024          |
| 0.5091        | 0.06  | 100  | 0.4871          |
| 0.4633        | 0.09  | 150  | 0.4678          |
| 0.4569        | 0.12  | 200  | 0.4446          |
| 0.4253        | 0.16  | 250  | 0.4354          |
| 0.4314        | 0.19  | 300  | 0.4303          |
| 0.4258        | 0.22  | 350  | 0.4252          |
| 0.4061        | 0.25  | 400  | 0.4223          |
| 0.4193        | 0.28  | 450  | 0.4189          |
| 0.4006        | 0.31  | 500  | 0.4153          |
| 0.4113        | 0.34  | 550  | 0.4121          |
| 0.406         | 0.37  | 600  | 0.4091          |
| 0.3988        | 0.4   | 650  | 0.4067          |
| 0.3964        | 0.43  | 700  | 0.4041          |
| 0.4005        | 0.47  | 750  | 0.4017          |
| 0.3878        | 0.5   | 800  | 0.3994          |
| 0.3807        | 0.53  | 850  | 0.3971          |
| 0.3868        | 0.56  | 900  | 0.3950          |
| 0.3883        | 0.59  | 950  | 0.3930          |
| 0.3818        | 0.62  | 1000 | 0.3916          |
| 0.3854        | 0.65  | 1050 | 0.3901          |
| 0.3733        | 0.68  | 1100 | 0.3886          |
| 0.3849        | 0.71  | 1150 | 0.3877          |
| 0.3887        | 0.74  | 1200 | 0.3864          |
| 0.3777        | 0.78  | 1250 | 0.3854          |
| 0.3832        | 0.81  | 1300 | 0.3846          |
| 0.3792        | 0.84  | 1350 | 0.3839          |
| 0.3742        | 0.87  | 1400 | 0.3834          |
| 0.3761        | 0.9   | 1450 | 0.3831          |
| 0.3732        | 0.93  | 1500 | 0.3829          |
| 0.3768        | 0.96  | 1550 | 0.3828          |
| 0.3643        | 0.99  | 1600 | 0.3828          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2