---
license: cc-by-nc-4.0
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
base_model: speakleash/Bielik-7B-Instruct-v0.1
model-index:
- name: TindeBielik_finetunes
  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. -->

# TindeBielik_finetunes

This model is a fine-tuned version of [speakleash/Bielik-7B-Instruct-v0.1](https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5315

## 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 75

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.2632 | 5    | 2.2403          |
| 2.2352        | 0.5263 | 10   | 1.9857          |
| 2.2352        | 0.7895 | 15   | 1.8578          |
| 1.8626        | 1.0526 | 20   | 1.7444          |
| 1.8626        | 1.3158 | 25   | 1.6693          |
| 1.5773        | 1.5789 | 30   | 1.6168          |
| 1.5773        | 1.8421 | 35   | 1.5745          |
| 1.4663        | 2.1053 | 40   | 1.5478          |
| 1.4663        | 2.3684 | 45   | 1.5356          |
| 1.1649        | 2.6316 | 50   | 1.5239          |
| 1.1649        | 2.8947 | 55   | 1.5185          |
| 0.9855        | 3.1579 | 60   | 1.5044          |
| 0.9855        | 3.4211 | 65   | 1.5510          |
| 0.6071        | 3.6842 | 70   | 1.5145          |
| 0.6071        | 3.9474 | 75   | 1.5315          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1