Instructions to use xhyi/distilLED4_09_01_2021_v6_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xhyi/distilLED4_09_01_2021_v6_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xhyi/distilLED4_09_01_2021_v6_2") model = AutoModelForSeq2SeqLM.from_pretrained("xhyi/distilLED4_09_01_2021_v6_2") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Step Training Loss Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure 100 3.049500 2.605496 0.172300 0.186900 0.151200 200 3.019400 2.567277 0.165100 0.189400 0.145000 300 3.014400 2.538830 0.157000 0.179200 0.134200 400 2.867200 2.490068 0.163600 0.177100 0.136200 500 2.723700 2.465870 0.168400 0.195700 0.152300 600 2.925400 2.452575 0.169500 0.210100 0.159400 700 2.878900 2.440204 0.173400 0.198000 0.155800 800 3.156500 2.423908 0.172900 0.196300 0.152800
- 440 steps before
total = 1240 steps
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