Instructions to use sara-m98/ECO_GPT_3_FINAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sara-m98/ECO_GPT_3_FINAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sara-m98/ECO_GPT_3_FINAL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sara-m98/ECO_GPT_3_FINAL") model = AutoModelForTokenClassification.from_pretrained("sara-m98/ECO_GPT_3_FINAL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 0.330300 0.296898 0.000000 0.000000 0.000000 0.954880 2 0.206400 0.189442 0.308052 0.160097 0.210695 0.960623 3 0.157600 0.156063 0.347608 0.317765 0.332017 0.962656 4 0.133600 0.153007 0.332287 0.342873 0.337497 0.962038 5 0.102500 0.146164 0.324882 0.352862 0.338294 0.961455 6 0.089800 0.143096 0.319729 0.382829 0.348446 0.963110 7 0.099000 0.145596 0.315371 0.385529 0.346939 0.962460 8 0.081700 0.147481 0.321294 0.367441 0.342821 0.962572 9 0.083100 0.148939 0.318333 0.360961 0.338310 0.962291 10 0.068600 0.151373 0.319981 0.370950 0.343586 0.962878 11 0.063800 0.156428 0.299218 0.382019 0.335586 0.961317 12 0.059300 0.160900 0.319719 0.380400 0.347429 0.962874
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