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.ipynb_checkpoints/README-checkpoint.md

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+---
+license: other
+library_name: peft
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+base_model: abacusai/Smaug-72B-v0.1
+model-index:
+- name: train_2024-02-17-03-49-55
+  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. -->
+
+# train_2024-02-17-03-49-55
+
+This model is a fine-tuned version of [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) on the Neural-DPO dataset.
+
+## 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: 0.001
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

README.md

@@ -1,22 +1,58 @@
 ---
 license: other
-license_name: tongyi-qianwen-license-agreement
-license_link: https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
+library_name: peft
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
 base_model: abacusai/Smaug-72B-v0.1
-datasets: NeuralNovel/Neural-DPO
+model-index:
+- name: train_2024-02-17-03-49-55
+  results: []
 ---
 
-![image/png](https://i.ibb.co/9VB5SHL/OIG1-3.jpg)
+<!-- 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. -->
 
-# ConvexAI/Luminex-72B-v0.1
+# train_2024-02-17-03-49-55
 
-This model is a fine-tuned version of [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) on the Neural-DPO dataset
+This model is a fine-tuned version of [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) on the Neural-DPO dataset.
 
-### Evaluation Results
+## Model description
 
-Coming Soon
+More information needed
 
-### Contamination Results
+## Intended uses & limitations
 
+More information needed
 
-Coming Soon
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2