---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
  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

This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the all_llama_factory dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2817

## 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: 5
- eval_batch_size: 5
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 30
- total_train_batch_size: 600
- total_eval_batch_size: 20
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 5.0   | 5    | 3.9933          |
| 3.3273        | 10.0  | 10   | 2.1877          |
| 3.3273        | 15.0  | 15   | 2.1877          |
| 1.7156        | 20.0  | 20   | 1.5717          |
| 1.7156        | 25.0  | 25   | 1.5717          |
| 1.3707        | 30.0  | 30   | 1.3554          |
| 1.3707        | 35.0  | 35   | 1.3554          |
| 1.1402        | 40.0  | 40   | 1.2805          |
| 1.1402        | 45.0  | 45   | 1.2805          |
| 1.0501        | 50.0  | 50   | 1.2817          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.3.0.post300
- Datasets 2.19.1
- Tokenizers 0.20.2