Instructions to use VMXVMX/llama2-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VMXVMX/llama2-project with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/tmp/huggingface/hub/hf-llama-2-7b") model = PeftModel.from_pretrained(base_model, "VMXVMX/llama2-project") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.3856528401374817, | |
| "best_model_checkpoint": "ckpt_output/checkpoint-30", | |
| "epoch": 4.8, | |
| "global_step": 30, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 0.00018568571761675893, | |
| "loss": 1.6945, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "eval_loss": 0.8912153244018555, | |
| "eval_runtime": 10.4021, | |
| "eval_samples_per_second": 4.711, | |
| "eval_steps_per_second": 4.711, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 0.00013701381553399145, | |
| "loss": 0.5639, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "eval_loss": 0.39273881912231445, | |
| "eval_runtime": 10.4024, | |
| "eval_samples_per_second": 4.71, | |
| "eval_steps_per_second": 4.71, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 7.324716614707793e-05, | |
| "loss": 0.3821, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "eval_loss": 0.3932119607925415, | |
| "eval_runtime": 10.394, | |
| "eval_samples_per_second": 4.714, | |
| "eval_steps_per_second": 4.714, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 1.4314282383241096e-05, | |
| "loss": 0.3224, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.3916894495487213, | |
| "eval_runtime": 10.4021, | |
| "eval_samples_per_second": 4.711, | |
| "eval_steps_per_second": 4.711, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "learning_rate": 0.0, | |
| "loss": 0.3501, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "eval_loss": 0.3856528401374817, | |
| "eval_runtime": 10.3967, | |
| "eval_samples_per_second": 4.713, | |
| "eval_steps_per_second": 4.713, | |
| "step": 30 | |
| } | |
| ], | |
| "max_steps": 30, | |
| "num_train_epochs": 5, | |
| "total_flos": 4.0472554450944e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |