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---
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
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