Update README.md

README.md

@@ -1,3 +1,81 @@
----
-license: llama3
----
+---
+base_model:
+- elinas/Llama-3-13B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama3
+---
+# Llama-3-15B-Instruct-ft
+
+This is a QLoRA **finetune** of a merge of pre-trained language models created using...
+
+TODO
+
+## Datasets
+
+* [Chat-Error/Pure-dove-sharegpt](https://huggingface.co/datasets/Chat-Error/Pure-dove-sharegpt)
+
+## Finetuning details
+This is a QLoRA model and all modules were targeted.
+```yaml
+lora_target_modules:
+  - down_proj
+  - o_proj
+```
+
+```yaml
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- total_train_batch_size: 6
+- total_eval_batch_size: 6
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 25
+- num_epochs: 1
+```
+
+Optimizer `paged_adamw_8bit` and Deepspeed ZeRO 3 was used at a LR of `1e-5` using the cosine scheduler for 1 epoch on 3x3090s taking 4h 12m 13s total.
+
+Sample packing and padding was disabled to reduce VRAM consumption significantly at the cost of speed.
+
+W&B Run Summary
+```
+wandb: Run summary:
+wandb:                eval/loss 0.94497
+wandb:             eval/runtime 276.2864
+wandb:  eval/samples_per_second 1.397
+wandb:    eval/steps_per_second 0.235
+wandb:               total_flos 12246605365248.0
+wandb:              train/epoch 1.0
+wandb:        train/global_step 579
+wandb:          train/grad_norm 0.80411
+wandb:      train/learning_rate 0.0
+wandb:               train/loss 1.085
+wandb:               train_loss 0.8834
+wandb:            train_runtime 9893.1688
+wandb: train_samples_per_second 0.351
+wandb:   train_steps_per_second 0.059
+```
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0
+
+## Model Evaluation
+
+TBD
+
+If you have any questions or comments on the model, feel free to open a discussion in the community tab.
+
+[<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)