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ali2066/
finetuned_sentence_itr0_0.0002_essays_27_02_2022-19_33_10

Name: finetuned_sentence_itr0_0.0002_essays_27_02_2022-19_33_10
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finetuned_sentence_itr0_0.0002_essays_27_02_2022-19_33_10

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	81	0.4116	0.8382	0.9027
No log	2.0	162	0.4360	0.8382	0.8952
No log	3.0	243	0.5719	0.8382	0.8995
No log	4.0	324	0.7251	0.8493	0.9021
No log	5.0	405	0.8384	0.8456	0.9019