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README.md

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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