Update README.md

README.md

@@ -3,17 +3,74 @@ license: cc-by-nc-4.0
 base_model: mlabonne/NeuralMonarch-7B
 tags:
 - generated_from_trainer
+- axolotl
+- mistral
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- distillation
 model-index:
-- name: out
+- name: AlphaMonarch-laser
   results: []
+datasets:
+- argilla/OpenHermes2.5-dpo-binarized-alpha
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
 ---
 <!-- 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-<details><summary>See axolotl config</summary>
+# AlphaMonarch-laser 
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64e380b2e12618b261fa6ba0/62S_ExHO6NKCM3NhPDrds.jpeg)
+
+
+
+</details><br>
+
+# out
+
+This model is a fine-tuned version of [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B) on an unknown 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: 5e-07
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1080
+
+
+
+
+
+
+### 📝 Axolotl Configuration
 
-axolotl version: `0.4.0`
 ```yaml
 base_model: mlabonne/NeuralMonarch-7B
 model_type: MistralForCausalLM
@@ -190,43 +247,6 @@ fsdp_config:
 special_tokens:
 ```
 
-</details><br>
-
-# out
-
-This model is a fine-tuned version of [mlabonne/NeuralMonarch-7B](https://huggingface.co/mlabonne/NeuralMonarch-7B) on an unknown 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: 5e-07
-- train_batch_size: 1
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 100
-- training_steps: 1080
-
-### Training results
-
-
 
 ### Framework versions
 
@@ -234,3 +254,6 @@ The following hyperparameters were used during training:
 - Pytorch 2.1.2+cu118
 - Datasets 2.17.0
 - Tokenizers 0.15.0
+- axolotl: 0.4.0
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)