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jtatman/
distillbert-base-sst-myers-briggs-classifier

Name: distillbert-base-sst-myers-briggs-classifier
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distillbert-base-sst-myers-briggs-classifier

This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
2.022	1.0	868	1.9076
1.9125	2.0	1736	1.5352
1.6338	3.0	2604	1.1828
1.2065	4.0	3472	0.7410
0.6499	5.0	4340	0.4132
0.4899	6.0	5208	0.3122
0.3508	7.0	6076	0.1947
0.2563	8.0	6944	0.1733
0.0166	9.0	7812	0.0869
0.0048	10.0	8680	0.0697
0.0598	11.0	9548	0.0246
0.0491	12.0	10416	0.0236
0.1285	13.0	11284	0.0147
0.0373	14.0	12152	0.0034
0.0003	15.0	13020	0.0000
0.0002	16.0	13888	0.0001
0.0038	17.0	14756	0.0000
0.0004	18.0	15624	0.0000
0.0	19.0	16492	0.0000
0.0	20.0	17360	0.0000