distilbert-base-uncased-finetuned-TeacherMomentsConfusion – AI Model by Ruborobot | AlphaNeural AI

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Ruborobot/
distilbert-base-uncased-finetuned-TeacherMomentsConfusion

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-TeacherMomentsConfusion

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

Loss: 0.6691
Accuracy: 0.7517
Precision: 0.1790
Recall: 0.2359
F1: 0.2035
Balanced Accuracy: 0.5339

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Balanced Accuracy
No log	1.0	295	0.6717	0.8655	0.0	0.0	0.0	0.5
0.6903	2.0	590	0.6691	0.7517	0.1790	0.2359	0.2035	0.5339
0.6903	3.0	885	0.7994	0.7076	0.1602	0.2769	0.2030	0.5257
0.5787	4.0	1180	1.0224	0.6317	0.1576	0.4	0.2261	0.5339
0.5787	5.0	1475	1.5546	0.7621	0.1528	0.1692	0.1606	0.5117
0.3142	6.0	1770	2.0188	0.7724	0.1271	0.1179	0.1223	0.4960
0.1212	7.0	2065	2.4508	0.8014	0.1157	0.0718	0.0886	0.4933
0.1212	8.0	2360	2.7545	0.8138	0.1287	0.0667	0.0878	0.4983
0.0543	9.0	2655	2.8085	0.7876	0.1258	0.0974	0.1098	0.4961
0.0543	10.0	2950	2.8602	0.7903	0.1342	0.1026	0.1163	0.4999

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3