Update README.md

README.md

@@ -1,18 +1,55 @@
----
-library_name: transformers
-license: llama3.2
-base_model: meta-llama/Llama-3.2-1B-Instruct
-tags:
-- axolotl
-- generated_from_trainer
-model-index:
-- name: open-llama-Instruct
-  results: []
----
+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- axolotl
+- OpenHermes
+model-index:
+- name: open-llama-Instruct
+  results: []
+datasets:
+- diabolic6045/OpenHermes-2.5_alpaca_10
+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. -->
 
+# open-llama-Instruct
+
+- This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the [diabolic6045/OpenHermes-2.5_alpaca_10](https://huggingface.co/datasets/diabolic6045/OpenHermes-2.5_alpaca_10) dataset. which is 10% of [OpenHermes 2.5 Dataset](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+- will be added soon
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.1.2
+- Datasets 3.0.1
+- Tokenizers 0.20.1
+
 [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
 <details><summary>See axolotl config</summary>
 
@@ -81,50 +118,4 @@ special_tokens:
 
 ```
 
-</details><br>
-
-# open-llama-Instruct
-
-This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None 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: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
-- total_train_batch_size: 4
-- total_eval_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 1
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.45.2
-- Pytorch 2.1.2
-- Datasets 3.0.1
-- Tokenizers 0.20.1
+</details><br>