Instructions to use sara-m98/MAMO_GPT_3_FINAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sara-m98/MAMO_GPT_3_FINAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sara-m98/MAMO_GPT_3_FINAL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sara-m98/MAMO_GPT_3_FINAL") model = AutoModelForTokenClassification.from_pretrained("sara-m98/MAMO_GPT_3_FINAL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 3.155600 2.775579 0.000000 0.000000 0.000000 0.070686 2 1.680000 1.201088 0.000000 0.000000 0.000000 0.884571 3 0.591900 0.510010 0.000000 0.000000 0.000000 0.919332 4 0.448700 0.391162 0.263274 0.074097 0.115646 0.927341 5 0.338200 0.320771 0.272500 0.135741 0.181214 0.935548 6 0.322200 0.277557 0.446018 0.313823 0.368421 0.947168 7 0.284700 0.261098 0.504557 0.379203 0.432990 0.949180 8 0.242700 0.257066 0.457185 0.382316 0.416412 0.945748 9 0.228000 0.246388 0.546324 0.462640 0.501011 0.951587 10 0.204500 0.243381 0.463443 0.501245 0.481603 0.948076 11 0.162400 0.238226 0.498227 0.524907 0.511219 0.951133 12 0.152500 0.242768 0.495480 0.546077 0.519550 0.950542 13 0.144200 0.245032 0.468880 0.492528 0.480413 0.950640 14 0.135800 0.248466 0.474104 0.518680 0.495391 0.949476 15 0.125500 0.261777 0.454279 0.482565 0.467995 0.947859 16 0.110300 0.264011 0.441977 0.495641 0.467273 0.948273 17 0.109700 0.269928 0.436249 0.515567 0.472603 0.946280
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