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TamerAbdelaziz/bert-base-cased_fine_tuned_glue_sst2
bert-base-cased_fine_tuned_glue_sst2 is a text classification model from TamerAbdelaziz. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This checkpoint was initialized from the pre-trained checkpoint bert-base-cased and subsequently fine-tuned on GLUE task: sst2 using this notebook. Training was conducted for 3 epochs, using a linear decaying learning…
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From the Hugging Face model README
This checkpoint was initialized from the pre-trained checkpoint bert-base-cased and subsequently fine-tuned on GLUE task: sst2 using this notebook. Training was conducted for 3 epochs, using a linear decaying learning rate of 2e-05, and a total batch size of 32.
The model has a final training loss of 0.035 and a accuracy of 0.927.