netflix_rating_classifier – AI Model by austinphamm | AlphaNeural AI

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austinphamm/
netflix_rating_classifier

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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netflix_rating_classifier

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

Loss: 3.7214
Accuracy: 0.4921

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: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	317	1.2448	0.4692
1.2581	2.0	634	1.1866	0.4976
1.2581	3.0	951	1.2496	0.4968
0.9032	4.0	1268	1.3886	0.5024
0.511	5.0	1585	1.6567	0.4842
0.511	6.0	1902	1.9508	0.4858
0.2425	7.0	2219	2.2587	0.4921
0.1197	8.0	2536	2.5835	0.4819
0.1197	9.0	2853	2.9177	0.4921
0.0571	10.0	3170	3.2303	0.4803
0.0571	11.0	3487	3.3902	0.4787
0.0245	12.0	3804	3.5701	0.4826
0.0124	13.0	4121	3.6457	0.4756
0.0124	14.0	4438	3.6836	0.4937
0.0112	15.0	4755	3.7015	0.4897
0.0073	16.0	5072	3.7214	0.4921

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2