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ali2066/
finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26

Name: finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26
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finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	195	0.4087	0.8073	0.8754
No log	2.0	390	0.3952	0.8159	0.8803
0.4084	3.0	585	0.4183	0.8195	0.8831
0.4084	4.0	780	0.4596	0.8280	0.8867
0.4084	5.0	975	0.4919	0.8280	0.8873