Instructions to use fals3/bigcode-starcoder2-3b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-3b-unit-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "fals3/bigcode-starcoder2-3b-unit-test-lora") - Notebooks
- Google Colab
- Kaggle
File size: 494 Bytes
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"epoch": 2.99835255354201,
"eval_accuracy": 0.7199034201039461,
"eval_loss": 0.7310884594917297,
"eval_runtime": 39.4969,
"eval_samples": 931,
"eval_samples_per_second": 23.571,
"eval_steps_per_second": 11.798,
"perplexity": 2.0773404785234737,
"total_flos": 1.9088629453081805e+17,
"train_loss": 1.0000693833434975,
"train_runtime": 2797.1733,
"train_samples": 7283,
"train_samples_per_second": 7.811,
"train_steps_per_second": 0.488
} |