Instructions to use jkefeli/PrimaryGleasonBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkefeli/PrimaryGleasonBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jkefeli/PrimaryGleasonBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jkefeli/PrimaryGleasonBERT") model = AutoModelForSequenceClassification.from_pretrained("jkefeli/PrimaryGleasonBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload trainer_state.json
Browse files- trainer_state.json +1438 -0
trainer_state.json
ADDED
|
@@ -0,0 +1,1438 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9426883191871465,
|
| 3 |
+
"best_model_checkpoint": "model_output/prad_primary_output/prad_primary_rs0_clinicalbert_16bsize_512max_tokens_default_lr_roc_optim_20e_01-17-2023_02h-22m/checkpoint-190",
|
| 4 |
+
"epoch": 9.5,
|
| 5 |
+
"global_step": 190,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.1,
|
| 12 |
+
"eval_accuracy": 0.5373134328358209,
|
| 13 |
+
"eval_f1": 0.3574758574758575,
|
| 14 |
+
"eval_f1_weighted": 0.489443392428467,
|
| 15 |
+
"eval_loss": 0.9268761873245239,
|
| 16 |
+
"eval_roc_auc": 0.6107379598441218,
|
| 17 |
+
"eval_runtime": 1.2207,
|
| 18 |
+
"eval_samples_per_second": 54.886,
|
| 19 |
+
"eval_steps_per_second": 4.096,
|
| 20 |
+
"step": 2
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.2,
|
| 24 |
+
"learning_rate": 4.9500000000000004e-05,
|
| 25 |
+
"loss": 0.9899,
|
| 26 |
+
"step": 4
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.2,
|
| 30 |
+
"eval_accuracy": 0.4925373134328358,
|
| 31 |
+
"eval_f1": 0.22,
|
| 32 |
+
"eval_f1_weighted": 0.3250746268656717,
|
| 33 |
+
"eval_loss": 0.9124901294708252,
|
| 34 |
+
"eval_roc_auc": 0.5582552156247731,
|
| 35 |
+
"eval_runtime": 1.2158,
|
| 36 |
+
"eval_samples_per_second": 55.108,
|
| 37 |
+
"eval_steps_per_second": 4.113,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.3,
|
| 42 |
+
"eval_accuracy": 0.4925373134328358,
|
| 43 |
+
"eval_f1": 0.22,
|
| 44 |
+
"eval_f1_weighted": 0.3250746268656717,
|
| 45 |
+
"eval_loss": 0.981939971446991,
|
| 46 |
+
"eval_roc_auc": 0.4301269582562523,
|
| 47 |
+
"eval_runtime": 1.2194,
|
| 48 |
+
"eval_samples_per_second": 54.945,
|
| 49 |
+
"eval_steps_per_second": 4.1,
|
| 50 |
+
"step": 6
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.4,
|
| 54 |
+
"learning_rate": 4.9e-05,
|
| 55 |
+
"loss": 0.9933,
|
| 56 |
+
"step": 8
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.4,
|
| 60 |
+
"eval_accuracy": 0.4925373134328358,
|
| 61 |
+
"eval_f1": 0.22,
|
| 62 |
+
"eval_f1_weighted": 0.3250746268656717,
|
| 63 |
+
"eval_loss": 0.9560447931289673,
|
| 64 |
+
"eval_roc_auc": 0.5123977839606143,
|
| 65 |
+
"eval_runtime": 1.2219,
|
| 66 |
+
"eval_samples_per_second": 54.832,
|
| 67 |
+
"eval_steps_per_second": 4.092,
|
| 68 |
+
"step": 8
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.5,
|
| 72 |
+
"eval_accuracy": 0.4925373134328358,
|
| 73 |
+
"eval_f1": 0.22,
|
| 74 |
+
"eval_f1_weighted": 0.3250746268656717,
|
| 75 |
+
"eval_loss": 0.9014336466789246,
|
| 76 |
+
"eval_roc_auc": 0.5345296882078375,
|
| 77 |
+
"eval_runtime": 1.2192,
|
| 78 |
+
"eval_samples_per_second": 54.954,
|
| 79 |
+
"eval_steps_per_second": 4.101,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.6,
|
| 84 |
+
"learning_rate": 4.85e-05,
|
| 85 |
+
"loss": 1.0187,
|
| 86 |
+
"step": 12
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.6,
|
| 90 |
+
"eval_accuracy": 0.43283582089552236,
|
| 91 |
+
"eval_f1": 0.20138888888888887,
|
| 92 |
+
"eval_f1_weighted": 0.2615049751243781,
|
| 93 |
+
"eval_loss": 0.9236512184143066,
|
| 94 |
+
"eval_roc_auc": 0.4107449483209271,
|
| 95 |
+
"eval_runtime": 1.2182,
|
| 96 |
+
"eval_samples_per_second": 54.998,
|
| 97 |
+
"eval_steps_per_second": 4.104,
|
| 98 |
+
"step": 12
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.7,
|
| 102 |
+
"eval_accuracy": 0.43283582089552236,
|
| 103 |
+
"eval_f1": 0.20138888888888887,
|
| 104 |
+
"eval_f1_weighted": 0.2615049751243781,
|
| 105 |
+
"eval_loss": 0.9475049376487732,
|
| 106 |
+
"eval_roc_auc": 0.622050195769533,
|
| 107 |
+
"eval_runtime": 1.2161,
|
| 108 |
+
"eval_samples_per_second": 55.094,
|
| 109 |
+
"eval_steps_per_second": 4.112,
|
| 110 |
+
"step": 14
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.8,
|
| 114 |
+
"learning_rate": 4.8e-05,
|
| 115 |
+
"loss": 0.9181,
|
| 116 |
+
"step": 16
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.8,
|
| 120 |
+
"eval_accuracy": 0.43283582089552236,
|
| 121 |
+
"eval_f1": 0.20138888888888887,
|
| 122 |
+
"eval_f1_weighted": 0.2615049751243781,
|
| 123 |
+
"eval_loss": 0.9717263579368591,
|
| 124 |
+
"eval_roc_auc": 0.6353464355620174,
|
| 125 |
+
"eval_runtime": 1.2189,
|
| 126 |
+
"eval_samples_per_second": 54.968,
|
| 127 |
+
"eval_steps_per_second": 4.102,
|
| 128 |
+
"step": 16
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.9,
|
| 132 |
+
"eval_accuracy": 0.43283582089552236,
|
| 133 |
+
"eval_f1": 0.20138888888888887,
|
| 134 |
+
"eval_f1_weighted": 0.2615049751243781,
|
| 135 |
+
"eval_loss": 0.9334698915481567,
|
| 136 |
+
"eval_roc_auc": 0.6309403000759409,
|
| 137 |
+
"eval_runtime": 1.2236,
|
| 138 |
+
"eval_samples_per_second": 54.756,
|
| 139 |
+
"eval_steps_per_second": 4.086,
|
| 140 |
+
"step": 18
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 1.0,
|
| 144 |
+
"learning_rate": 4.75e-05,
|
| 145 |
+
"loss": 0.8413,
|
| 146 |
+
"step": 20
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 1.0,
|
| 150 |
+
"eval_accuracy": 0.4925373134328358,
|
| 151 |
+
"eval_f1": 0.282216999608304,
|
| 152 |
+
"eval_f1_weighted": 0.3793693109072733,
|
| 153 |
+
"eval_loss": 0.9048787355422974,
|
| 154 |
+
"eval_roc_auc": 0.6341481396372107,
|
| 155 |
+
"eval_runtime": 1.2194,
|
| 156 |
+
"eval_samples_per_second": 54.947,
|
| 157 |
+
"eval_steps_per_second": 4.101,
|
| 158 |
+
"step": 20
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 1.1,
|
| 162 |
+
"eval_accuracy": 0.5522388059701493,
|
| 163 |
+
"eval_f1": 0.33274578926752846,
|
| 164 |
+
"eval_f1_weighted": 0.47230650507743316,
|
| 165 |
+
"eval_loss": 0.8940262198448181,
|
| 166 |
+
"eval_roc_auc": 0.6367384434369768,
|
| 167 |
+
"eval_runtime": 1.2185,
|
| 168 |
+
"eval_samples_per_second": 54.986,
|
| 169 |
+
"eval_steps_per_second": 4.103,
|
| 170 |
+
"step": 22
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.2,
|
| 174 |
+
"learning_rate": 4.7e-05,
|
| 175 |
+
"loss": 0.8928,
|
| 176 |
+
"step": 24
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 1.2,
|
| 180 |
+
"eval_accuracy": 0.4925373134328358,
|
| 181 |
+
"eval_f1": 0.239192451174018,
|
| 182 |
+
"eval_f1_weighted": 0.34958191268804106,
|
| 183 |
+
"eval_loss": 0.8931290507316589,
|
| 184 |
+
"eval_roc_auc": 0.6255647978074341,
|
| 185 |
+
"eval_runtime": 1.2132,
|
| 186 |
+
"eval_samples_per_second": 55.227,
|
| 187 |
+
"eval_steps_per_second": 4.121,
|
| 188 |
+
"step": 24
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.3,
|
| 192 |
+
"eval_accuracy": 0.5522388059701493,
|
| 193 |
+
"eval_f1": 0.3825320512820512,
|
| 194 |
+
"eval_f1_weighted": 0.52978616532721,
|
| 195 |
+
"eval_loss": 0.8918970823287964,
|
| 196 |
+
"eval_roc_auc": 0.6465011472546505,
|
| 197 |
+
"eval_runtime": 1.2216,
|
| 198 |
+
"eval_samples_per_second": 54.848,
|
| 199 |
+
"eval_steps_per_second": 4.093,
|
| 200 |
+
"step": 26
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.4,
|
| 204 |
+
"learning_rate": 4.6500000000000005e-05,
|
| 205 |
+
"loss": 0.9183,
|
| 206 |
+
"step": 28
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 1.4,
|
| 210 |
+
"eval_accuracy": 0.44776119402985076,
|
| 211 |
+
"eval_f1": 0.22311661506707947,
|
| 212 |
+
"eval_f1_weighted": 0.2932304422161638,
|
| 213 |
+
"eval_loss": 0.9188483357429504,
|
| 214 |
+
"eval_roc_auc": 0.6651756826192129,
|
| 215 |
+
"eval_runtime": 1.2181,
|
| 216 |
+
"eval_samples_per_second": 55.005,
|
| 217 |
+
"eval_steps_per_second": 4.105,
|
| 218 |
+
"step": 28
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 1.5,
|
| 222 |
+
"eval_accuracy": 0.5074626865671642,
|
| 223 |
+
"eval_f1": 0.3401191658391261,
|
| 224 |
+
"eval_f1_weighted": 0.46642902666409763,
|
| 225 |
+
"eval_loss": 0.8897700309753418,
|
| 226 |
+
"eval_roc_auc": 0.6640330788365928,
|
| 227 |
+
"eval_runtime": 1.2183,
|
| 228 |
+
"eval_samples_per_second": 54.996,
|
| 229 |
+
"eval_steps_per_second": 4.104,
|
| 230 |
+
"step": 30
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.6,
|
| 234 |
+
"learning_rate": 4.600000000000001e-05,
|
| 235 |
+
"loss": 1.0359,
|
| 236 |
+
"step": 32
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 1.6,
|
| 240 |
+
"eval_accuracy": 0.5223880597014925,
|
| 241 |
+
"eval_f1": 0.3450960041515309,
|
| 242 |
+
"eval_f1_weighted": 0.4845130858421953,
|
| 243 |
+
"eval_loss": 0.8961546421051025,
|
| 244 |
+
"eval_roc_auc": 0.5583101007352929,
|
| 245 |
+
"eval_runtime": 1.2172,
|
| 246 |
+
"eval_samples_per_second": 55.043,
|
| 247 |
+
"eval_steps_per_second": 4.108,
|
| 248 |
+
"step": 32
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.7,
|
| 252 |
+
"eval_accuracy": 0.4925373134328358,
|
| 253 |
+
"eval_f1": 0.22,
|
| 254 |
+
"eval_f1_weighted": 0.3250746268656717,
|
| 255 |
+
"eval_loss": 0.9399242997169495,
|
| 256 |
+
"eval_roc_auc": 0.4854997107034975,
|
| 257 |
+
"eval_runtime": 1.2176,
|
| 258 |
+
"eval_samples_per_second": 55.026,
|
| 259 |
+
"eval_steps_per_second": 4.106,
|
| 260 |
+
"step": 34
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 1.8,
|
| 264 |
+
"learning_rate": 4.55e-05,
|
| 265 |
+
"loss": 0.8073,
|
| 266 |
+
"step": 36
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 1.8,
|
| 270 |
+
"eval_accuracy": 0.4925373134328358,
|
| 271 |
+
"eval_f1": 0.22,
|
| 272 |
+
"eval_f1_weighted": 0.3250746268656717,
|
| 273 |
+
"eval_loss": 0.9720465540885925,
|
| 274 |
+
"eval_roc_auc": 0.5332854471353733,
|
| 275 |
+
"eval_runtime": 1.2149,
|
| 276 |
+
"eval_samples_per_second": 55.149,
|
| 277 |
+
"eval_steps_per_second": 4.116,
|
| 278 |
+
"step": 36
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 1.9,
|
| 282 |
+
"eval_accuracy": 0.47761194029850745,
|
| 283 |
+
"eval_f1": 0.23389175257731962,
|
| 284 |
+
"eval_f1_weighted": 0.3418699030620096,
|
| 285 |
+
"eval_loss": 0.9526171684265137,
|
| 286 |
+
"eval_roc_auc": 0.5305002138807847,
|
| 287 |
+
"eval_runtime": 1.2175,
|
| 288 |
+
"eval_samples_per_second": 55.033,
|
| 289 |
+
"eval_steps_per_second": 4.107,
|
| 290 |
+
"step": 38
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 2.0,
|
| 294 |
+
"learning_rate": 4.5e-05,
|
| 295 |
+
"loss": 0.9176,
|
| 296 |
+
"step": 40
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.0,
|
| 300 |
+
"eval_accuracy": 0.5671641791044776,
|
| 301 |
+
"eval_f1": 0.3499132446500868,
|
| 302 |
+
"eval_f1_weighted": 0.4950407016392877,
|
| 303 |
+
"eval_loss": 0.9059419631958008,
|
| 304 |
+
"eval_roc_auc": 0.5067589980465311,
|
| 305 |
+
"eval_runtime": 1.215,
|
| 306 |
+
"eval_samples_per_second": 55.143,
|
| 307 |
+
"eval_steps_per_second": 4.115,
|
| 308 |
+
"step": 40
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 2.1,
|
| 312 |
+
"eval_accuracy": 0.5373134328358209,
|
| 313 |
+
"eval_f1": 0.37104798587706633,
|
| 314 |
+
"eval_f1_weighted": 0.5126222522438363,
|
| 315 |
+
"eval_loss": 0.8836531043052673,
|
| 316 |
+
"eval_roc_auc": 0.658280560593416,
|
| 317 |
+
"eval_runtime": 1.2194,
|
| 318 |
+
"eval_samples_per_second": 54.946,
|
| 319 |
+
"eval_steps_per_second": 4.1,
|
| 320 |
+
"step": 42
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 2.2,
|
| 324 |
+
"learning_rate": 4.4500000000000004e-05,
|
| 325 |
+
"loss": 0.7806,
|
| 326 |
+
"step": 44
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 2.2,
|
| 330 |
+
"eval_accuracy": 0.5074626865671642,
|
| 331 |
+
"eval_f1": 0.3503450489488043,
|
| 332 |
+
"eval_f1_weighted": 0.48381347954498094,
|
| 333 |
+
"eval_loss": 0.8884266018867493,
|
| 334 |
+
"eval_roc_auc": 0.6245352619442165,
|
| 335 |
+
"eval_runtime": 1.2159,
|
| 336 |
+
"eval_samples_per_second": 55.104,
|
| 337 |
+
"eval_steps_per_second": 4.112,
|
| 338 |
+
"step": 44
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.3,
|
| 342 |
+
"eval_accuracy": 0.5223880597014925,
|
| 343 |
+
"eval_f1": 0.36190017653667145,
|
| 344 |
+
"eval_f1_weighted": 0.5020084938811,
|
| 345 |
+
"eval_loss": 0.8871902823448181,
|
| 346 |
+
"eval_roc_auc": 0.5753152423966572,
|
| 347 |
+
"eval_runtime": 1.2182,
|
| 348 |
+
"eval_samples_per_second": 54.998,
|
| 349 |
+
"eval_steps_per_second": 4.104,
|
| 350 |
+
"step": 46
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 2.4,
|
| 354 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 355 |
+
"loss": 0.8738,
|
| 356 |
+
"step": 48
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 2.4,
|
| 360 |
+
"eval_accuracy": 0.5373134328358209,
|
| 361 |
+
"eval_f1": 0.3720668595306975,
|
| 362 |
+
"eval_f1_weighted": 0.516494192489817,
|
| 363 |
+
"eval_loss": 0.8924217224121094,
|
| 364 |
+
"eval_roc_auc": 0.5522660805668758,
|
| 365 |
+
"eval_runtime": 1.216,
|
| 366 |
+
"eval_samples_per_second": 55.099,
|
| 367 |
+
"eval_steps_per_second": 4.112,
|
| 368 |
+
"step": 48
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 2.5,
|
| 372 |
+
"eval_accuracy": 0.5074626865671642,
|
| 373 |
+
"eval_f1": 0.35161135161135154,
|
| 374 |
+
"eval_f1_weighted": 0.4873252783700545,
|
| 375 |
+
"eval_loss": 0.9068598747253418,
|
| 376 |
+
"eval_roc_auc": 0.545635856249989,
|
| 377 |
+
"eval_runtime": 1.2169,
|
| 378 |
+
"eval_samples_per_second": 55.059,
|
| 379 |
+
"eval_steps_per_second": 4.109,
|
| 380 |
+
"step": 50
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.6,
|
| 384 |
+
"learning_rate": 4.35e-05,
|
| 385 |
+
"loss": 0.8057,
|
| 386 |
+
"step": 52
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 2.6,
|
| 390 |
+
"eval_accuracy": 0.5373134328358209,
|
| 391 |
+
"eval_f1": 0.3625316455696203,
|
| 392 |
+
"eval_f1_weighted": 0.507024371811827,
|
| 393 |
+
"eval_loss": 0.9044484496116638,
|
| 394 |
+
"eval_roc_auc": 0.5214351158888778,
|
| 395 |
+
"eval_runtime": 1.218,
|
| 396 |
+
"eval_samples_per_second": 55.009,
|
| 397 |
+
"eval_steps_per_second": 4.105,
|
| 398 |
+
"step": 52
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.7,
|
| 402 |
+
"eval_accuracy": 0.5223880597014925,
|
| 403 |
+
"eval_f1": 0.3617433414043583,
|
| 404 |
+
"eval_f1_weighted": 0.502135810053847,
|
| 405 |
+
"eval_loss": 0.9086884260177612,
|
| 406 |
+
"eval_roc_auc": 0.5436828813590747,
|
| 407 |
+
"eval_runtime": 1.2157,
|
| 408 |
+
"eval_samples_per_second": 55.111,
|
| 409 |
+
"eval_steps_per_second": 4.113,
|
| 410 |
+
"step": 54
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 2.8,
|
| 414 |
+
"learning_rate": 4.3e-05,
|
| 415 |
+
"loss": 0.8282,
|
| 416 |
+
"step": 56
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 2.8,
|
| 420 |
+
"eval_accuracy": 0.5522388059701493,
|
| 421 |
+
"eval_f1": 0.3738271604938272,
|
| 422 |
+
"eval_f1_weighted": 0.5141625207296849,
|
| 423 |
+
"eval_loss": 0.8964908123016357,
|
| 424 |
+
"eval_roc_auc": 0.6378891801507918,
|
| 425 |
+
"eval_runtime": 1.22,
|
| 426 |
+
"eval_samples_per_second": 54.917,
|
| 427 |
+
"eval_steps_per_second": 4.098,
|
| 428 |
+
"step": 56
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 2.9,
|
| 432 |
+
"eval_accuracy": 0.5223880597014925,
|
| 433 |
+
"eval_f1": 0.3606237816764133,
|
| 434 |
+
"eval_f1_weighted": 0.501440167583137,
|
| 435 |
+
"eval_loss": 0.8872122168540955,
|
| 436 |
+
"eval_roc_auc": 0.5484830326635979,
|
| 437 |
+
"eval_runtime": 1.2197,
|
| 438 |
+
"eval_samples_per_second": 54.931,
|
| 439 |
+
"eval_steps_per_second": 4.099,
|
| 440 |
+
"step": 58
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 3.0,
|
| 444 |
+
"learning_rate": 4.25e-05,
|
| 445 |
+
"loss": 0.8939,
|
| 446 |
+
"step": 60
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 3.0,
|
| 450 |
+
"eval_accuracy": 0.5074626865671642,
|
| 451 |
+
"eval_f1": 0.2615979381443299,
|
| 452 |
+
"eval_f1_weighted": 0.37907755039236807,
|
| 453 |
+
"eval_loss": 1.0024551153182983,
|
| 454 |
+
"eval_roc_auc": 0.5364163299657502,
|
| 455 |
+
"eval_runtime": 1.2167,
|
| 456 |
+
"eval_samples_per_second": 55.066,
|
| 457 |
+
"eval_steps_per_second": 4.109,
|
| 458 |
+
"step": 60
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 3.1,
|
| 462 |
+
"eval_accuracy": 0.4925373134328358,
|
| 463 |
+
"eval_f1": 0.2556818181818182,
|
| 464 |
+
"eval_f1_weighted": 0.37056196291270915,
|
| 465 |
+
"eval_loss": 1.0271281003952026,
|
| 466 |
+
"eval_roc_auc": 0.5599080164786127,
|
| 467 |
+
"eval_runtime": 1.219,
|
| 468 |
+
"eval_samples_per_second": 54.964,
|
| 469 |
+
"eval_steps_per_second": 4.102,
|
| 470 |
+
"step": 62
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 3.2,
|
| 474 |
+
"learning_rate": 4.2e-05,
|
| 475 |
+
"loss": 0.8565,
|
| 476 |
+
"step": 64
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 3.2,
|
| 480 |
+
"eval_accuracy": 0.5671641791044776,
|
| 481 |
+
"eval_f1": 0.3650793650793651,
|
| 482 |
+
"eval_f1_weighted": 0.513859275053305,
|
| 483 |
+
"eval_loss": 0.9313604235649109,
|
| 484 |
+
"eval_roc_auc": 0.559152227843963,
|
| 485 |
+
"eval_runtime": 1.2182,
|
| 486 |
+
"eval_samples_per_second": 55.001,
|
| 487 |
+
"eval_steps_per_second": 4.105,
|
| 488 |
+
"step": 64
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 3.3,
|
| 492 |
+
"eval_accuracy": 0.5522388059701493,
|
| 493 |
+
"eval_f1": 0.3823717948717949,
|
| 494 |
+
"eval_f1_weighted": 0.5314150401836969,
|
| 495 |
+
"eval_loss": 0.8814096450805664,
|
| 496 |
+
"eval_roc_auc": 0.6012026058913381,
|
| 497 |
+
"eval_runtime": 1.2165,
|
| 498 |
+
"eval_samples_per_second": 55.076,
|
| 499 |
+
"eval_steps_per_second": 4.11,
|
| 500 |
+
"step": 66
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 3.4,
|
| 504 |
+
"learning_rate": 4.15e-05,
|
| 505 |
+
"loss": 0.6669,
|
| 506 |
+
"step": 68
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 3.4,
|
| 510 |
+
"eval_accuracy": 0.5671641791044776,
|
| 511 |
+
"eval_f1": 0.38861709067188527,
|
| 512 |
+
"eval_f1_weighted": 0.5366051347956889,
|
| 513 |
+
"eval_loss": 0.9118794798851013,
|
| 514 |
+
"eval_roc_auc": 0.5886753942271424,
|
| 515 |
+
"eval_runtime": 1.215,
|
| 516 |
+
"eval_samples_per_second": 55.144,
|
| 517 |
+
"eval_steps_per_second": 4.115,
|
| 518 |
+
"step": 68
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 3.5,
|
| 522 |
+
"eval_accuracy": 0.5671641791044776,
|
| 523 |
+
"eval_f1": 0.3925533622211523,
|
| 524 |
+
"eval_f1_weighted": 0.5453761524586983,
|
| 525 |
+
"eval_loss": 0.895846962928772,
|
| 526 |
+
"eval_roc_auc": 0.6272478032128417,
|
| 527 |
+
"eval_runtime": 1.218,
|
| 528 |
+
"eval_samples_per_second": 55.007,
|
| 529 |
+
"eval_steps_per_second": 4.105,
|
| 530 |
+
"step": 70
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 3.6,
|
| 534 |
+
"learning_rate": 4.1e-05,
|
| 535 |
+
"loss": 0.7601,
|
| 536 |
+
"step": 72
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 3.6,
|
| 540 |
+
"eval_accuracy": 0.5671641791044776,
|
| 541 |
+
"eval_f1": 0.3917874396135265,
|
| 542 |
+
"eval_f1_weighted": 0.545078953060783,
|
| 543 |
+
"eval_loss": 0.9002715945243835,
|
| 544 |
+
"eval_roc_auc": 0.6277288949652808,
|
| 545 |
+
"eval_runtime": 1.2172,
|
| 546 |
+
"eval_samples_per_second": 55.044,
|
| 547 |
+
"eval_steps_per_second": 4.108,
|
| 548 |
+
"step": 72
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 3.7,
|
| 552 |
+
"eval_accuracy": 0.582089552238806,
|
| 553 |
+
"eval_f1": 0.4026036644165863,
|
| 554 |
+
"eval_f1_weighted": 0.5596583140229422,
|
| 555 |
+
"eval_loss": 0.8845404386520386,
|
| 556 |
+
"eval_roc_auc": 0.6422917674804015,
|
| 557 |
+
"eval_runtime": 1.2198,
|
| 558 |
+
"eval_samples_per_second": 54.928,
|
| 559 |
+
"eval_steps_per_second": 4.099,
|
| 560 |
+
"step": 74
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 3.8,
|
| 564 |
+
"learning_rate": 4.05e-05,
|
| 565 |
+
"loss": 0.792,
|
| 566 |
+
"step": 76
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 3.8,
|
| 570 |
+
"eval_accuracy": 0.6119402985074627,
|
| 571 |
+
"eval_f1": 0.4237179487179487,
|
| 572 |
+
"eval_f1_weighted": 0.5875143513203215,
|
| 573 |
+
"eval_loss": 0.8394505381584167,
|
| 574 |
+
"eval_roc_auc": 0.6545318671933383,
|
| 575 |
+
"eval_runtime": 1.22,
|
| 576 |
+
"eval_samples_per_second": 54.917,
|
| 577 |
+
"eval_steps_per_second": 4.098,
|
| 578 |
+
"step": 76
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 3.9,
|
| 582 |
+
"eval_accuracy": 0.5671641791044776,
|
| 583 |
+
"eval_f1": 0.3828202581926514,
|
| 584 |
+
"eval_f1_weighted": 0.5263824867717025,
|
| 585 |
+
"eval_loss": 0.8603011965751648,
|
| 586 |
+
"eval_roc_auc": 0.7116721198700833,
|
| 587 |
+
"eval_runtime": 1.2172,
|
| 588 |
+
"eval_samples_per_second": 55.046,
|
| 589 |
+
"eval_steps_per_second": 4.108,
|
| 590 |
+
"step": 78
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 4.0,
|
| 594 |
+
"learning_rate": 4e-05,
|
| 595 |
+
"loss": 0.5152,
|
| 596 |
+
"step": 80
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 4.0,
|
| 600 |
+
"eval_accuracy": 0.6567164179104478,
|
| 601 |
+
"eval_f1": 0.4573852051219312,
|
| 602 |
+
"eval_f1_weighted": 0.633066621869853,
|
| 603 |
+
"eval_loss": 0.7896729111671448,
|
| 604 |
+
"eval_roc_auc": 0.7033958257608891,
|
| 605 |
+
"eval_runtime": 1.2172,
|
| 606 |
+
"eval_samples_per_second": 55.045,
|
| 607 |
+
"eval_steps_per_second": 4.108,
|
| 608 |
+
"step": 80
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 4.1,
|
| 612 |
+
"eval_accuracy": 0.7014925373134329,
|
| 613 |
+
"eval_f1": 0.4861111111111111,
|
| 614 |
+
"eval_f1_weighted": 0.6759950248756219,
|
| 615 |
+
"eval_loss": 0.7801089286804199,
|
| 616 |
+
"eval_roc_auc": 0.6904540328850794,
|
| 617 |
+
"eval_runtime": 1.2191,
|
| 618 |
+
"eval_samples_per_second": 54.96,
|
| 619 |
+
"eval_steps_per_second": 4.101,
|
| 620 |
+
"step": 82
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 4.2,
|
| 624 |
+
"learning_rate": 3.9500000000000005e-05,
|
| 625 |
+
"loss": 0.403,
|
| 626 |
+
"step": 84
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 4.2,
|
| 630 |
+
"eval_accuracy": 0.6268656716417911,
|
| 631 |
+
"eval_f1": 0.4164096813381928,
|
| 632 |
+
"eval_f1_weighted": 0.5832569699860664,
|
| 633 |
+
"eval_loss": 0.9066091775894165,
|
| 634 |
+
"eval_roc_auc": 0.666676041452625,
|
| 635 |
+
"eval_runtime": 1.2185,
|
| 636 |
+
"eval_samples_per_second": 54.988,
|
| 637 |
+
"eval_steps_per_second": 4.104,
|
| 638 |
+
"step": 84
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 4.3,
|
| 642 |
+
"eval_accuracy": 0.6417910447761194,
|
| 643 |
+
"eval_f1": 0.4350649350649351,
|
| 644 |
+
"eval_f1_weighted": 0.6075789881760031,
|
| 645 |
+
"eval_loss": 0.8394883275032043,
|
| 646 |
+
"eval_roc_auc": 0.679015649561526,
|
| 647 |
+
"eval_runtime": 1.2195,
|
| 648 |
+
"eval_samples_per_second": 54.939,
|
| 649 |
+
"eval_steps_per_second": 4.1,
|
| 650 |
+
"step": 86
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 4.4,
|
| 654 |
+
"learning_rate": 3.9000000000000006e-05,
|
| 655 |
+
"loss": 0.7288,
|
| 656 |
+
"step": 88
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 4.4,
|
| 660 |
+
"eval_accuracy": 0.7164179104477612,
|
| 661 |
+
"eval_f1": 0.5004887585532747,
|
| 662 |
+
"eval_f1_weighted": 0.693307655272027,
|
| 663 |
+
"eval_loss": 0.7547105550765991,
|
| 664 |
+
"eval_roc_auc": 0.7260807241077717,
|
| 665 |
+
"eval_runtime": 1.2195,
|
| 666 |
+
"eval_samples_per_second": 54.941,
|
| 667 |
+
"eval_steps_per_second": 4.1,
|
| 668 |
+
"step": 88
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 4.5,
|
| 672 |
+
"eval_accuracy": 0.6716417910447762,
|
| 673 |
+
"eval_f1": 0.4660098522167488,
|
| 674 |
+
"eval_f1_weighted": 0.6442320417616352,
|
| 675 |
+
"eval_loss": 0.8313462138175964,
|
| 676 |
+
"eval_roc_auc": 0.7827001735083298,
|
| 677 |
+
"eval_runtime": 1.219,
|
| 678 |
+
"eval_samples_per_second": 54.964,
|
| 679 |
+
"eval_steps_per_second": 4.102,
|
| 680 |
+
"step": 90
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 4.6,
|
| 684 |
+
"learning_rate": 3.85e-05,
|
| 685 |
+
"loss": 0.5865,
|
| 686 |
+
"step": 92
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 4.6,
|
| 690 |
+
"eval_accuracy": 0.7611940298507462,
|
| 691 |
+
"eval_f1": 0.53125,
|
| 692 |
+
"eval_f1_weighted": 0.7364738805970149,
|
| 693 |
+
"eval_loss": 0.692564845085144,
|
| 694 |
+
"eval_roc_auc": 0.8177031301314561,
|
| 695 |
+
"eval_runtime": 1.2207,
|
| 696 |
+
"eval_samples_per_second": 54.885,
|
| 697 |
+
"eval_steps_per_second": 4.096,
|
| 698 |
+
"step": 92
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 4.7,
|
| 702 |
+
"eval_accuracy": 0.7761194029850746,
|
| 703 |
+
"eval_f1": 0.5424836601307189,
|
| 704 |
+
"eval_f1_weighted": 0.7518290898448932,
|
| 705 |
+
"eval_loss": 0.6342676877975464,
|
| 706 |
+
"eval_roc_auc": 0.8405736805475765,
|
| 707 |
+
"eval_runtime": 1.2164,
|
| 708 |
+
"eval_samples_per_second": 55.083,
|
| 709 |
+
"eval_steps_per_second": 4.111,
|
| 710 |
+
"step": 94
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 4.8,
|
| 714 |
+
"learning_rate": 3.8e-05,
|
| 715 |
+
"loss": 0.5263,
|
| 716 |
+
"step": 96
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 4.8,
|
| 720 |
+
"eval_accuracy": 0.7910447761194029,
|
| 721 |
+
"eval_f1": 0.553002223869533,
|
| 722 |
+
"eval_f1_weighted": 0.7668477479171968,
|
| 723 |
+
"eval_loss": 0.6138404011726379,
|
| 724 |
+
"eval_roc_auc": 0.8259139155322393,
|
| 725 |
+
"eval_runtime": 1.2175,
|
| 726 |
+
"eval_samples_per_second": 55.032,
|
| 727 |
+
"eval_steps_per_second": 4.107,
|
| 728 |
+
"step": 96
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 4.9,
|
| 732 |
+
"eval_accuracy": 0.8059701492537313,
|
| 733 |
+
"eval_f1": 0.5584795321637427,
|
| 734 |
+
"eval_f1_weighted": 0.7749410840534171,
|
| 735 |
+
"eval_loss": 0.5968928337097168,
|
| 736 |
+
"eval_roc_auc": 0.8748494390242875,
|
| 737 |
+
"eval_runtime": 1.2175,
|
| 738 |
+
"eval_samples_per_second": 55.029,
|
| 739 |
+
"eval_steps_per_second": 4.107,
|
| 740 |
+
"step": 98
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 5.0,
|
| 744 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 745 |
+
"loss": 0.5847,
|
| 746 |
+
"step": 100
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 5.0,
|
| 750 |
+
"eval_accuracy": 0.8059701492537313,
|
| 751 |
+
"eval_f1": 0.5584795321637427,
|
| 752 |
+
"eval_f1_weighted": 0.7749410840534171,
|
| 753 |
+
"eval_loss": 0.5527657866477966,
|
| 754 |
+
"eval_roc_auc": 0.9323773138806697,
|
| 755 |
+
"eval_runtime": 1.2195,
|
| 756 |
+
"eval_samples_per_second": 54.942,
|
| 757 |
+
"eval_steps_per_second": 4.1,
|
| 758 |
+
"step": 100
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 5.1,
|
| 762 |
+
"eval_accuracy": 0.8059701492537313,
|
| 763 |
+
"eval_f1": 0.5584795321637427,
|
| 764 |
+
"eval_f1_weighted": 0.7749410840534171,
|
| 765 |
+
"eval_loss": 0.5388075709342957,
|
| 766 |
+
"eval_roc_auc": 0.9383424432250612,
|
| 767 |
+
"eval_runtime": 1.2201,
|
| 768 |
+
"eval_samples_per_second": 54.913,
|
| 769 |
+
"eval_steps_per_second": 4.098,
|
| 770 |
+
"step": 102
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 5.2,
|
| 774 |
+
"learning_rate": 3.7e-05,
|
| 775 |
+
"loss": 0.3932,
|
| 776 |
+
"step": 104
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 5.2,
|
| 780 |
+
"eval_accuracy": 0.8059701492537313,
|
| 781 |
+
"eval_f1": 0.5584795321637427,
|
| 782 |
+
"eval_f1_weighted": 0.7749410840534171,
|
| 783 |
+
"eval_loss": 0.5338171124458313,
|
| 784 |
+
"eval_roc_auc": 0.9357987315897205,
|
| 785 |
+
"eval_runtime": 1.2223,
|
| 786 |
+
"eval_samples_per_second": 54.817,
|
| 787 |
+
"eval_steps_per_second": 4.091,
|
| 788 |
+
"step": 104
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 5.3,
|
| 792 |
+
"eval_accuracy": 0.7910447761194029,
|
| 793 |
+
"eval_f1": 0.5490581490581491,
|
| 794 |
+
"eval_f1_weighted": 0.7613627195716748,
|
| 795 |
+
"eval_loss": 0.5593022704124451,
|
| 796 |
+
"eval_roc_auc": 0.9120323481946476,
|
| 797 |
+
"eval_runtime": 1.2192,
|
| 798 |
+
"eval_samples_per_second": 54.954,
|
| 799 |
+
"eval_steps_per_second": 4.101,
|
| 800 |
+
"step": 106
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 5.4,
|
| 804 |
+
"learning_rate": 3.65e-05,
|
| 805 |
+
"loss": 0.2978,
|
| 806 |
+
"step": 108
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 5.4,
|
| 810 |
+
"eval_accuracy": 0.7761194029850746,
|
| 811 |
+
"eval_f1": 0.5382716049382715,
|
| 812 |
+
"eval_f1_weighted": 0.7467108899944721,
|
| 813 |
+
"eval_loss": 0.5857189297676086,
|
| 814 |
+
"eval_roc_auc": 0.9198113925251405,
|
| 815 |
+
"eval_runtime": 1.2191,
|
| 816 |
+
"eval_samples_per_second": 54.96,
|
| 817 |
+
"eval_steps_per_second": 4.101,
|
| 818 |
+
"step": 108
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 5.5,
|
| 822 |
+
"eval_accuracy": 0.7761194029850746,
|
| 823 |
+
"eval_f1": 0.6409472880061116,
|
| 824 |
+
"eval_f1_weighted": 0.7609431832434467,
|
| 825 |
+
"eval_loss": 0.6259031295776367,
|
| 826 |
+
"eval_roc_auc": 0.9239536321347209,
|
| 827 |
+
"eval_runtime": 1.2186,
|
| 828 |
+
"eval_samples_per_second": 54.981,
|
| 829 |
+
"eval_steps_per_second": 4.103,
|
| 830 |
+
"step": 110
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 5.6,
|
| 834 |
+
"learning_rate": 3.6e-05,
|
| 835 |
+
"loss": 0.2672,
|
| 836 |
+
"step": 112
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 5.6,
|
| 840 |
+
"eval_accuracy": 0.8059701492537313,
|
| 841 |
+
"eval_f1": 0.6626771920889568,
|
| 842 |
+
"eval_f1_weighted": 0.7907103139763368,
|
| 843 |
+
"eval_loss": 0.6301503777503967,
|
| 844 |
+
"eval_roc_auc": 0.9190969468704965,
|
| 845 |
+
"eval_runtime": 1.2171,
|
| 846 |
+
"eval_samples_per_second": 55.05,
|
| 847 |
+
"eval_steps_per_second": 4.108,
|
| 848 |
+
"step": 112
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 5.7,
|
| 852 |
+
"eval_accuracy": 0.7910447761194029,
|
| 853 |
+
"eval_f1": 0.6517503805175039,
|
| 854 |
+
"eval_f1_weighted": 0.7759694677298439,
|
| 855 |
+
"eval_loss": 0.5792377591133118,
|
| 856 |
+
"eval_roc_auc": 0.876367107295521,
|
| 857 |
+
"eval_runtime": 1.2176,
|
| 858 |
+
"eval_samples_per_second": 55.025,
|
| 859 |
+
"eval_steps_per_second": 4.106,
|
| 860 |
+
"step": 114
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 5.8,
|
| 864 |
+
"learning_rate": 3.55e-05,
|
| 865 |
+
"loss": 0.2806,
|
| 866 |
+
"step": 116
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 5.8,
|
| 870 |
+
"eval_accuracy": 0.7910447761194029,
|
| 871 |
+
"eval_f1": 0.6416725894337836,
|
| 872 |
+
"eval_f1_weighted": 0.778988851053899,
|
| 873 |
+
"eval_loss": 0.5505416393280029,
|
| 874 |
+
"eval_roc_auc": 0.8766408197382413,
|
| 875 |
+
"eval_runtime": 1.2235,
|
| 876 |
+
"eval_samples_per_second": 54.762,
|
| 877 |
+
"eval_steps_per_second": 4.087,
|
| 878 |
+
"step": 116
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 5.9,
|
| 882 |
+
"eval_accuracy": 0.7014925373134329,
|
| 883 |
+
"eval_f1": 0.6693895476504172,
|
| 884 |
+
"eval_f1_weighted": 0.6933592905040018,
|
| 885 |
+
"eval_loss": 0.8218042254447937,
|
| 886 |
+
"eval_roc_auc": 0.8531633397655846,
|
| 887 |
+
"eval_runtime": 1.2201,
|
| 888 |
+
"eval_samples_per_second": 54.913,
|
| 889 |
+
"eval_steps_per_second": 4.098,
|
| 890 |
+
"step": 118
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 6.0,
|
| 894 |
+
"learning_rate": 3.5e-05,
|
| 895 |
+
"loss": 0.5082,
|
| 896 |
+
"step": 120
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 6.0,
|
| 900 |
+
"eval_accuracy": 0.746268656716418,
|
| 901 |
+
"eval_f1": 0.7028011204481793,
|
| 902 |
+
"eval_f1_weighted": 0.7403110497930515,
|
| 903 |
+
"eval_loss": 0.7941116094589233,
|
| 904 |
+
"eval_roc_auc": 0.882679465493187,
|
| 905 |
+
"eval_runtime": 1.2184,
|
| 906 |
+
"eval_samples_per_second": 54.989,
|
| 907 |
+
"eval_steps_per_second": 4.104,
|
| 908 |
+
"step": 120
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 6.1,
|
| 912 |
+
"eval_accuracy": 0.8507462686567164,
|
| 913 |
+
"eval_f1": 0.7489281210592686,
|
| 914 |
+
"eval_f1_weighted": 0.8448194086314957,
|
| 915 |
+
"eval_loss": 0.47939425706863403,
|
| 916 |
+
"eval_roc_auc": 0.9171689795255024,
|
| 917 |
+
"eval_runtime": 1.2187,
|
| 918 |
+
"eval_samples_per_second": 54.976,
|
| 919 |
+
"eval_steps_per_second": 4.103,
|
| 920 |
+
"step": 122
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 6.2,
|
| 924 |
+
"learning_rate": 3.45e-05,
|
| 925 |
+
"loss": 0.2646,
|
| 926 |
+
"step": 124
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 6.2,
|
| 930 |
+
"eval_accuracy": 0.835820895522388,
|
| 931 |
+
"eval_f1": 0.6841817186644773,
|
| 932 |
+
"eval_f1_weighted": 0.820184790334044,
|
| 933 |
+
"eval_loss": 0.5200427770614624,
|
| 934 |
+
"eval_roc_auc": 0.8998004509846013,
|
| 935 |
+
"eval_runtime": 1.2187,
|
| 936 |
+
"eval_samples_per_second": 54.975,
|
| 937 |
+
"eval_steps_per_second": 4.103,
|
| 938 |
+
"step": 124
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 6.3,
|
| 942 |
+
"eval_accuracy": 0.7910447761194029,
|
| 943 |
+
"eval_f1": 0.6517503805175039,
|
| 944 |
+
"eval_f1_weighted": 0.7759694677298439,
|
| 945 |
+
"eval_loss": 0.633881151676178,
|
| 946 |
+
"eval_roc_auc": 0.9095164374087981,
|
| 947 |
+
"eval_runtime": 1.2183,
|
| 948 |
+
"eval_samples_per_second": 54.996,
|
| 949 |
+
"eval_steps_per_second": 4.104,
|
| 950 |
+
"step": 126
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 6.4,
|
| 954 |
+
"learning_rate": 3.4000000000000007e-05,
|
| 955 |
+
"loss": 0.2178,
|
| 956 |
+
"step": 128
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 6.4,
|
| 960 |
+
"eval_accuracy": 0.7910447761194029,
|
| 961 |
+
"eval_f1": 0.5480140774258421,
|
| 962 |
+
"eval_f1_weighted": 0.7605862092253663,
|
| 963 |
+
"eval_loss": 0.7460798025131226,
|
| 964 |
+
"eval_roc_auc": 0.9236619354087335,
|
| 965 |
+
"eval_runtime": 1.2193,
|
| 966 |
+
"eval_samples_per_second": 54.952,
|
| 967 |
+
"eval_steps_per_second": 4.101,
|
| 968 |
+
"step": 128
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 6.5,
|
| 972 |
+
"eval_accuracy": 0.7313432835820896,
|
| 973 |
+
"eval_f1": 0.5012973533990659,
|
| 974 |
+
"eval_f1_weighted": 0.6975346412721033,
|
| 975 |
+
"eval_loss": 0.8184891939163208,
|
| 976 |
+
"eval_roc_auc": 0.9135357751398279,
|
| 977 |
+
"eval_runtime": 1.2209,
|
| 978 |
+
"eval_samples_per_second": 54.878,
|
| 979 |
+
"eval_steps_per_second": 4.095,
|
| 980 |
+
"step": 130
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 6.6,
|
| 984 |
+
"learning_rate": 3.35e-05,
|
| 985 |
+
"loss": 0.481,
|
| 986 |
+
"step": 132
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 6.6,
|
| 990 |
+
"eval_accuracy": 0.7761194029850746,
|
| 991 |
+
"eval_f1": 0.5367088607594936,
|
| 992 |
+
"eval_f1_weighted": 0.7452862270923862,
|
| 993 |
+
"eval_loss": 0.7749145030975342,
|
| 994 |
+
"eval_roc_auc": 0.9241951537539688,
|
| 995 |
+
"eval_runtime": 1.2188,
|
| 996 |
+
"eval_samples_per_second": 54.972,
|
| 997 |
+
"eval_steps_per_second": 4.102,
|
| 998 |
+
"step": 132
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 6.7,
|
| 1002 |
+
"eval_accuracy": 0.7910447761194029,
|
| 1003 |
+
"eval_f1": 0.5480140774258421,
|
| 1004 |
+
"eval_f1_weighted": 0.7605862092253663,
|
| 1005 |
+
"eval_loss": 0.70408034324646,
|
| 1006 |
+
"eval_roc_auc": 0.9353670079123542,
|
| 1007 |
+
"eval_runtime": 1.2137,
|
| 1008 |
+
"eval_samples_per_second": 55.205,
|
| 1009 |
+
"eval_steps_per_second": 4.12,
|
| 1010 |
+
"step": 134
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 6.8,
|
| 1014 |
+
"learning_rate": 3.3e-05,
|
| 1015 |
+
"loss": 0.357,
|
| 1016 |
+
"step": 136
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 6.8,
|
| 1020 |
+
"eval_accuracy": 0.7761194029850746,
|
| 1021 |
+
"eval_f1": 0.5418752085418752,
|
| 1022 |
+
"eval_f1_weighted": 0.7520356177072596,
|
| 1023 |
+
"eval_loss": 0.5984435677528381,
|
| 1024 |
+
"eval_roc_auc": 0.9422144107122601,
|
| 1025 |
+
"eval_runtime": 1.2172,
|
| 1026 |
+
"eval_samples_per_second": 55.046,
|
| 1027 |
+
"eval_steps_per_second": 4.108,
|
| 1028 |
+
"step": 136
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 6.9,
|
| 1032 |
+
"eval_accuracy": 0.7910447761194029,
|
| 1033 |
+
"eval_f1": 0.5568922305764411,
|
| 1034 |
+
"eval_f1_weighted": 0.7725956682751655,
|
| 1035 |
+
"eval_loss": 0.6042739152908325,
|
| 1036 |
+
"eval_roc_auc": 0.8886977232627885,
|
| 1037 |
+
"eval_runtime": 1.2199,
|
| 1038 |
+
"eval_samples_per_second": 54.923,
|
| 1039 |
+
"eval_steps_per_second": 4.099,
|
| 1040 |
+
"step": 138
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 7.0,
|
| 1044 |
+
"learning_rate": 3.2500000000000004e-05,
|
| 1045 |
+
"loss": 0.2442,
|
| 1046 |
+
"step": 140
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 7.0,
|
| 1050 |
+
"eval_accuracy": 0.7761194029850746,
|
| 1051 |
+
"eval_f1": 0.6232240437158469,
|
| 1052 |
+
"eval_f1_weighted": 0.7674700269146073,
|
| 1053 |
+
"eval_loss": 0.6625877618789673,
|
| 1054 |
+
"eval_roc_auc": 0.885796771407202,
|
| 1055 |
+
"eval_runtime": 1.2178,
|
| 1056 |
+
"eval_samples_per_second": 55.016,
|
| 1057 |
+
"eval_steps_per_second": 4.106,
|
| 1058 |
+
"step": 140
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 7.1,
|
| 1062 |
+
"eval_accuracy": 0.746268656716418,
|
| 1063 |
+
"eval_f1": 0.601851851851852,
|
| 1064 |
+
"eval_f1_weighted": 0.7374437337123906,
|
| 1065 |
+
"eval_loss": 0.7249980568885803,
|
| 1066 |
+
"eval_roc_auc": 0.8836999918218473,
|
| 1067 |
+
"eval_runtime": 1.2196,
|
| 1068 |
+
"eval_samples_per_second": 54.937,
|
| 1069 |
+
"eval_steps_per_second": 4.1,
|
| 1070 |
+
"step": 142
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 7.2,
|
| 1074 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 1075 |
+
"loss": 0.2895,
|
| 1076 |
+
"step": 144
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 7.2,
|
| 1080 |
+
"eval_accuracy": 0.7611940298507462,
|
| 1081 |
+
"eval_f1": 0.6125672043010751,
|
| 1082 |
+
"eval_f1_weighted": 0.7525126384207992,
|
| 1083 |
+
"eval_loss": 0.7177485227584839,
|
| 1084 |
+
"eval_roc_auc": 0.8988318738409138,
|
| 1085 |
+
"eval_runtime": 1.219,
|
| 1086 |
+
"eval_samples_per_second": 54.963,
|
| 1087 |
+
"eval_steps_per_second": 4.102,
|
| 1088 |
+
"step": 144
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 7.3,
|
| 1092 |
+
"eval_accuracy": 0.8059701492537313,
|
| 1093 |
+
"eval_f1": 0.6442283244342741,
|
| 1094 |
+
"eval_f1_weighted": 0.7971669114382322,
|
| 1095 |
+
"eval_loss": 0.6158971786499023,
|
| 1096 |
+
"eval_roc_auc": 0.9257433466065693,
|
| 1097 |
+
"eval_runtime": 1.2179,
|
| 1098 |
+
"eval_samples_per_second": 55.013,
|
| 1099 |
+
"eval_steps_per_second": 4.105,
|
| 1100 |
+
"step": 146
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 7.4,
|
| 1104 |
+
"learning_rate": 3.15e-05,
|
| 1105 |
+
"loss": 0.1247,
|
| 1106 |
+
"step": 148
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 7.4,
|
| 1110 |
+
"eval_accuracy": 0.7761194029850746,
|
| 1111 |
+
"eval_f1": 0.6135265700483091,
|
| 1112 |
+
"eval_f1_weighted": 0.7752109020116807,
|
| 1113 |
+
"eval_loss": 0.5960801243782043,
|
| 1114 |
+
"eval_roc_auc": 0.9299025860599263,
|
| 1115 |
+
"eval_runtime": 1.2186,
|
| 1116 |
+
"eval_samples_per_second": 54.98,
|
| 1117 |
+
"eval_steps_per_second": 4.103,
|
| 1118 |
+
"step": 148
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 7.5,
|
| 1122 |
+
"eval_accuracy": 0.7910447761194029,
|
| 1123 |
+
"eval_f1": 0.6803418803418803,
|
| 1124 |
+
"eval_f1_weighted": 0.7898966704936854,
|
| 1125 |
+
"eval_loss": 0.6297043561935425,
|
| 1126 |
+
"eval_roc_auc": 0.928043745151505,
|
| 1127 |
+
"eval_runtime": 1.2207,
|
| 1128 |
+
"eval_samples_per_second": 54.884,
|
| 1129 |
+
"eval_steps_per_second": 4.096,
|
| 1130 |
+
"step": 150
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 7.6,
|
| 1134 |
+
"learning_rate": 3.1e-05,
|
| 1135 |
+
"loss": 0.1401,
|
| 1136 |
+
"step": 152
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 7.6,
|
| 1140 |
+
"eval_accuracy": 0.7761194029850746,
|
| 1141 |
+
"eval_f1": 0.6214568794692857,
|
| 1142 |
+
"eval_f1_weighted": 0.7664838768164862,
|
| 1143 |
+
"eval_loss": 0.7288922667503357,
|
| 1144 |
+
"eval_roc_auc": 0.9169795844990506,
|
| 1145 |
+
"eval_runtime": 1.2177,
|
| 1146 |
+
"eval_samples_per_second": 55.02,
|
| 1147 |
+
"eval_steps_per_second": 4.106,
|
| 1148 |
+
"step": 152
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 7.7,
|
| 1152 |
+
"eval_accuracy": 0.7611940298507462,
|
| 1153 |
+
"eval_f1": 0.5344212136664966,
|
| 1154 |
+
"eval_f1_weighted": 0.7423565497347531,
|
| 1155 |
+
"eval_loss": 0.7684075832366943,
|
| 1156 |
+
"eval_roc_auc": 0.9071037779761267,
|
| 1157 |
+
"eval_runtime": 1.2191,
|
| 1158 |
+
"eval_samples_per_second": 54.959,
|
| 1159 |
+
"eval_steps_per_second": 4.101,
|
| 1160 |
+
"step": 154
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 7.8,
|
| 1164 |
+
"learning_rate": 3.05e-05,
|
| 1165 |
+
"loss": 0.1425,
|
| 1166 |
+
"step": 156
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 7.8,
|
| 1170 |
+
"eval_accuracy": 0.7611940298507462,
|
| 1171 |
+
"eval_f1": 0.5344212136664966,
|
| 1172 |
+
"eval_f1_weighted": 0.7423565497347531,
|
| 1173 |
+
"eval_loss": 0.7739881873130798,
|
| 1174 |
+
"eval_roc_auc": 0.9037702780185827,
|
| 1175 |
+
"eval_runtime": 1.2219,
|
| 1176 |
+
"eval_samples_per_second": 54.832,
|
| 1177 |
+
"eval_steps_per_second": 4.092,
|
| 1178 |
+
"step": 156
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 7.9,
|
| 1182 |
+
"eval_accuracy": 0.8059701492537313,
|
| 1183 |
+
"eval_f1": 0.6499480563407505,
|
| 1184 |
+
"eval_f1_weighted": 0.792322362962314,
|
| 1185 |
+
"eval_loss": 0.7463679909706116,
|
| 1186 |
+
"eval_roc_auc": 0.9108798026167514,
|
| 1187 |
+
"eval_runtime": 1.2161,
|
| 1188 |
+
"eval_samples_per_second": 55.094,
|
| 1189 |
+
"eval_steps_per_second": 4.111,
|
| 1190 |
+
"step": 158
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 8.0,
|
| 1194 |
+
"learning_rate": 3e-05,
|
| 1195 |
+
"loss": 0.0541,
|
| 1196 |
+
"step": 160
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 8.0,
|
| 1200 |
+
"eval_accuracy": 0.7910447761194029,
|
| 1201 |
+
"eval_f1": 0.6396825396825397,
|
| 1202 |
+
"eval_f1_weighted": 0.7780383795309169,
|
| 1203 |
+
"eval_loss": 0.6964292526245117,
|
| 1204 |
+
"eval_roc_auc": 0.924278504123671,
|
| 1205 |
+
"eval_runtime": 1.2218,
|
| 1206 |
+
"eval_samples_per_second": 54.838,
|
| 1207 |
+
"eval_steps_per_second": 4.092,
|
| 1208 |
+
"step": 160
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 8.1,
|
| 1212 |
+
"eval_accuracy": 0.7910447761194029,
|
| 1213 |
+
"eval_f1": 0.6396825396825397,
|
| 1214 |
+
"eval_f1_weighted": 0.7780383795309169,
|
| 1215 |
+
"eval_loss": 0.6750349402427673,
|
| 1216 |
+
"eval_roc_auc": 0.9306260238562039,
|
| 1217 |
+
"eval_runtime": 1.2115,
|
| 1218 |
+
"eval_samples_per_second": 55.304,
|
| 1219 |
+
"eval_steps_per_second": 4.127,
|
| 1220 |
+
"step": 162
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 8.2,
|
| 1224 |
+
"learning_rate": 2.95e-05,
|
| 1225 |
+
"loss": 0.0735,
|
| 1226 |
+
"step": 164
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 8.2,
|
| 1230 |
+
"eval_accuracy": 0.7910447761194029,
|
| 1231 |
+
"eval_f1": 0.6396825396825397,
|
| 1232 |
+
"eval_f1_weighted": 0.7780383795309169,
|
| 1233 |
+
"eval_loss": 0.6345735788345337,
|
| 1234 |
+
"eval_roc_auc": 0.9307606763941116,
|
| 1235 |
+
"eval_runtime": 1.2207,
|
| 1236 |
+
"eval_samples_per_second": 54.885,
|
| 1237 |
+
"eval_steps_per_second": 4.096,
|
| 1238 |
+
"step": 164
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 8.3,
|
| 1242 |
+
"eval_accuracy": 0.8059701492537313,
|
| 1243 |
+
"eval_f1": 0.6507377598926894,
|
| 1244 |
+
"eval_f1_weighted": 0.7930943872188354,
|
| 1245 |
+
"eval_loss": 0.6417430639266968,
|
| 1246 |
+
"eval_roc_auc": 0.9207915603132855,
|
| 1247 |
+
"eval_runtime": 1.2167,
|
| 1248 |
+
"eval_samples_per_second": 55.069,
|
| 1249 |
+
"eval_steps_per_second": 4.11,
|
| 1250 |
+
"step": 166
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 8.4,
|
| 1254 |
+
"learning_rate": 2.9e-05,
|
| 1255 |
+
"loss": 0.0701,
|
| 1256 |
+
"step": 168
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 8.4,
|
| 1260 |
+
"eval_accuracy": 0.8208955223880597,
|
| 1261 |
+
"eval_f1": 0.6735030063421464,
|
| 1262 |
+
"eval_f1_weighted": 0.8055976603269788,
|
| 1263 |
+
"eval_loss": 0.6598219871520996,
|
| 1264 |
+
"eval_roc_auc": 0.9178574505876599,
|
| 1265 |
+
"eval_runtime": 1.2178,
|
| 1266 |
+
"eval_samples_per_second": 55.017,
|
| 1267 |
+
"eval_steps_per_second": 4.106,
|
| 1268 |
+
"step": 168
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 8.5,
|
| 1272 |
+
"eval_accuracy": 0.8208955223880597,
|
| 1273 |
+
"eval_f1": 0.6735030063421464,
|
| 1274 |
+
"eval_f1_weighted": 0.8055976603269788,
|
| 1275 |
+
"eval_loss": 0.674333393573761,
|
| 1276 |
+
"eval_roc_auc": 0.9147662966739546,
|
| 1277 |
+
"eval_runtime": 1.2139,
|
| 1278 |
+
"eval_samples_per_second": 55.194,
|
| 1279 |
+
"eval_steps_per_second": 4.119,
|
| 1280 |
+
"step": 170
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 8.6,
|
| 1284 |
+
"learning_rate": 2.8499999999999998e-05,
|
| 1285 |
+
"loss": 0.0415,
|
| 1286 |
+
"step": 172
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 8.6,
|
| 1290 |
+
"eval_accuracy": 0.8208955223880597,
|
| 1291 |
+
"eval_f1": 0.6735030063421464,
|
| 1292 |
+
"eval_f1_weighted": 0.8055976603269788,
|
| 1293 |
+
"eval_loss": 0.6726630330085754,
|
| 1294 |
+
"eval_roc_auc": 0.9180612295621405,
|
| 1295 |
+
"eval_runtime": 1.2166,
|
| 1296 |
+
"eval_samples_per_second": 55.074,
|
| 1297 |
+
"eval_steps_per_second": 4.11,
|
| 1298 |
+
"step": 172
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 8.7,
|
| 1302 |
+
"eval_accuracy": 0.835820895522388,
|
| 1303 |
+
"eval_f1": 0.6841817186644773,
|
| 1304 |
+
"eval_f1_weighted": 0.820184790334044,
|
| 1305 |
+
"eval_loss": 0.6476911902427673,
|
| 1306 |
+
"eval_roc_auc": 0.9287753506648254,
|
| 1307 |
+
"eval_runtime": 1.2178,
|
| 1308 |
+
"eval_samples_per_second": 55.016,
|
| 1309 |
+
"eval_steps_per_second": 4.106,
|
| 1310 |
+
"step": 174
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 8.8,
|
| 1314 |
+
"learning_rate": 2.8000000000000003e-05,
|
| 1315 |
+
"loss": 0.1207,
|
| 1316 |
+
"step": 176
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 8.8,
|
| 1320 |
+
"eval_accuracy": 0.8507462686567164,
|
| 1321 |
+
"eval_f1": 0.6947514943093426,
|
| 1322 |
+
"eval_f1_weighted": 0.8346513563354928,
|
| 1323 |
+
"eval_loss": 0.6322030425071716,
|
| 1324 |
+
"eval_roc_auc": 0.9343940407946855,
|
| 1325 |
+
"eval_runtime": 1.2175,
|
| 1326 |
+
"eval_samples_per_second": 55.032,
|
| 1327 |
+
"eval_steps_per_second": 4.107,
|
| 1328 |
+
"step": 176
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 8.9,
|
| 1332 |
+
"eval_accuracy": 0.8507462686567164,
|
| 1333 |
+
"eval_f1": 0.6947514943093426,
|
| 1334 |
+
"eval_f1_weighted": 0.8346513563354928,
|
| 1335 |
+
"eval_loss": 0.631219744682312,
|
| 1336 |
+
"eval_roc_auc": 0.9355877867306113,
|
| 1337 |
+
"eval_runtime": 1.2171,
|
| 1338 |
+
"eval_samples_per_second": 55.047,
|
| 1339 |
+
"eval_steps_per_second": 4.108,
|
| 1340 |
+
"step": 178
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 9.0,
|
| 1344 |
+
"learning_rate": 2.7500000000000004e-05,
|
| 1345 |
+
"loss": 0.0677,
|
| 1346 |
+
"step": 180
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 9.0,
|
| 1350 |
+
"eval_accuracy": 0.835820895522388,
|
| 1351 |
+
"eval_f1": 0.6843137254901962,
|
| 1352 |
+
"eval_f1_weighted": 0.8201053555750658,
|
| 1353 |
+
"eval_loss": 0.6727584600448608,
|
| 1354 |
+
"eval_roc_auc": 0.9294350538309254,
|
| 1355 |
+
"eval_runtime": 1.213,
|
| 1356 |
+
"eval_samples_per_second": 55.237,
|
| 1357 |
+
"eval_steps_per_second": 4.122,
|
| 1358 |
+
"step": 180
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 9.1,
|
| 1362 |
+
"eval_accuracy": 0.8059701492537313,
|
| 1363 |
+
"eval_f1": 0.6633986928104575,
|
| 1364 |
+
"eval_f1_weighted": 0.7911911033069944,
|
| 1365 |
+
"eval_loss": 0.7204322218894958,
|
| 1366 |
+
"eval_roc_auc": 0.9322838617007921,
|
| 1367 |
+
"eval_runtime": 1.2192,
|
| 1368 |
+
"eval_samples_per_second": 54.955,
|
| 1369 |
+
"eval_steps_per_second": 4.101,
|
| 1370 |
+
"step": 182
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 9.2,
|
| 1374 |
+
"learning_rate": 2.7000000000000002e-05,
|
| 1375 |
+
"loss": 0.0334,
|
| 1376 |
+
"step": 184
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 9.2,
|
| 1380 |
+
"eval_accuracy": 0.8059701492537313,
|
| 1381 |
+
"eval_f1": 0.6633986928104575,
|
| 1382 |
+
"eval_f1_weighted": 0.7911911033069944,
|
| 1383 |
+
"eval_loss": 0.6748175621032715,
|
| 1384 |
+
"eval_roc_auc": 0.9319867731684095,
|
| 1385 |
+
"eval_runtime": 1.2166,
|
| 1386 |
+
"eval_samples_per_second": 55.073,
|
| 1387 |
+
"eval_steps_per_second": 4.11,
|
| 1388 |
+
"step": 184
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 9.3,
|
| 1392 |
+
"eval_accuracy": 0.8059701492537313,
|
| 1393 |
+
"eval_f1": 0.6631636562671046,
|
| 1394 |
+
"eval_f1_weighted": 0.7911869225302061,
|
| 1395 |
+
"eval_loss": 0.6425347924232483,
|
| 1396 |
+
"eval_roc_auc": 0.9327048191582917,
|
| 1397 |
+
"eval_runtime": 1.2192,
|
| 1398 |
+
"eval_samples_per_second": 54.952,
|
| 1399 |
+
"eval_steps_per_second": 4.101,
|
| 1400 |
+
"step": 186
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 9.4,
|
| 1404 |
+
"learning_rate": 2.6500000000000004e-05,
|
| 1405 |
+
"loss": 0.0184,
|
| 1406 |
+
"step": 188
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 9.4,
|
| 1410 |
+
"eval_accuracy": 0.8208955223880597,
|
| 1411 |
+
"eval_f1": 0.7118127444214402,
|
| 1412 |
+
"eval_f1_weighted": 0.8170045219039379,
|
| 1413 |
+
"eval_loss": 0.6353668570518494,
|
| 1414 |
+
"eval_roc_auc": 0.9364646683797305,
|
| 1415 |
+
"eval_runtime": 1.2147,
|
| 1416 |
+
"eval_samples_per_second": 55.155,
|
| 1417 |
+
"eval_steps_per_second": 4.116,
|
| 1418 |
+
"step": 188
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 9.5,
|
| 1422 |
+
"eval_accuracy": 0.835820895522388,
|
| 1423 |
+
"eval_f1": 0.7686429512516469,
|
| 1424 |
+
"eval_f1_weighted": 0.8350775765441567,
|
| 1425 |
+
"eval_loss": 0.6435410380363464,
|
| 1426 |
+
"eval_roc_auc": 0.9426883191871465,
|
| 1427 |
+
"eval_runtime": 1.2183,
|
| 1428 |
+
"eval_samples_per_second": 54.995,
|
| 1429 |
+
"eval_steps_per_second": 4.104,
|
| 1430 |
+
"step": 190
|
| 1431 |
+
}
|
| 1432 |
+
],
|
| 1433 |
+
"max_steps": 400,
|
| 1434 |
+
"num_train_epochs": 20,
|
| 1435 |
+
"total_flos": 769080520018944.0,
|
| 1436 |
+
"trial_name": null,
|
| 1437 |
+
"trial_params": null
|
| 1438 |
+
}
|