PEFT
TensorBoard
Safetensors
gemma2
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto: direct link, hf CLI and curl.
- Browser
- Download file 228 Bytes
-
https://huggingface.co/GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto/resolve/main/train_results.json
- Command line
-
hf download hf://GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto/train_results.json
-
curl -L -o train_results.json https://huggingface.co/GaetanMichelet/Gemma-2-2B_task-1_120-samples_config-2_full_auto/resolve/main/train_results.json
228 Bytes
| { | |
| "epoch": 16.0, | |
| "total_flos": 6108365199507456.0, | |
| "train_loss": 0.974235578355464, | |
| "train_runtime": 616.5144, | |
| "train_samples": 88, | |
| "train_samples_per_second": 7.137, | |
| "train_steps_per_second": 0.406 | |
| } |