Create README.md

README.md

@@ -0,0 +1,65 @@
+---
+license: cc-by-nc-4.0
+base_model: athirdpath/Harmonia-20B
+tags:
+- generated_from_trainer
+model-index:
+- name: lora
+  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/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)
+# lora
+
+This model is a fine-tuned version of [athirdpath/Harmonia-20B](https://huggingface.co/athirdpath/Harmonia-20B) on the HF No Robots dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4881
+
+## 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: 3.5e-05
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 9
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5598        | 0.55  | 50   | 1.5816          |
+| 1.5384        | 1.08  | 100  | 1.5146          |
+| 1.5362        | 1.64  | 150  | 1.4972          |
+| 1.4234        | 2.17  | 200  | 1.4902          |
+| 1.4678        | 2.72  | 250  | 1.4881          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0