---
license: other
base_model: Qwen/Qwen-7B
tags:
- llama-factory
- freeze
- generated_from_trainer
model-index:
- name: cpt
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vision-x/huggingface/runs/lugcpcak)
# cpt

This model is a fine-tuned version of [Qwen/Qwen-7B](https://huggingface.co/Qwen/Qwen-7B) on the fineweb dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4038

## 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: 0.0001
- train_batch_size: 120
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 960
- total_eval_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.1109        | 1.9157 | 500  | 2.4038          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2+git70dfd51
- Datasets 2.20.0
- Tokenizers 0.19.1