---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: yerkekz/mistral-finetuned
model-index:
- name: results2
  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. -->

# results2

This model is a fine-tuned version of [yerkekz/mistral-finetuned](https://huggingface.co/yerkekz/mistral-finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0027

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9042        | 0.29  | 500  | 1.0006          |
| 0.9255        | 0.58  | 1000 | 0.9922          |
| 0.9736        | 0.87  | 1500 | 0.9802          |
| 0.8229        | 1.16  | 2000 | 1.0026          |
| 0.8248        | 1.45  | 2500 | 1.0036          |
| 0.8261        | 1.74  | 3000 | 1.0027          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2