---
base_model: Qwen/Qwen1.5-7B
library_name: peft
license: other
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: SFT_FineTuned_Qwen-7B
  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. -->

# SFT_FineTuned_Qwen-7B

This model is a fine-tuned version of [Qwen/Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) on the MatanP/stories-with_custom_prompts dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7424

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.904         | 1.0   | 90   | 1.8201          |
| 1.8606        | 2.0   | 180  | 1.7638          |
| 1.769         | 3.0   | 270  | 1.7466          |
| 1.7389        | 4.0   | 360  | 1.7426          |
| 1.7152        | 5.0   | 450  | 1.7422          |
| 1.326         | 6.0   | 540  | 1.7424          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 3.0.0
- Tokenizers 0.19.1