distilbert-base-uncased-finetuned-AS_sentences

sarahflan/distilbert-base-uncased-finetuned-AS_sentences

distilbert-base-uncased-finetuned-AS_sentences is a text classification model from sarahflan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: May 5, 2023
Updated: Jul 18, 2023
SHA: c8c1c502

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sarahflan/Aortic_Stenosis_Classifier

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-as_sentences

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: 0.0627
Accuracy: 0.9733
F1: 0.9733

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6987	1.0	11	0.6958	0.46	0.3025
0.6851	2.0	22	0.6715	0.5667	0.4954
0.6315	3.0	33	0.4515	0.88	0.8791
0.4086	4.0	44	0.1662	0.96	0.9599
0.136	5.0	55	0.0857	0.9667	0.9666
0.0955	6.0	66	0.0661	0.9733	0.9733
0.022	7.0	77	0.0569	0.9667	0.9666
0.0272	8.0	88	0.0626	0.9667	0.9666
0.0346	9.0	99	0.0818	0.9667	0.9666
0.0157	10.0	110	0.0649	0.9667	0.9666
0.0232	11.0	121	0.1416	0.9533	0.9531
0.0202	12.0	132	0.0652	0.9733	0.9733
0.0069	13.0	143	0.0764	0.96	0.9599
0.0032	14.0	154	0.0842	0.9667	0.9666
0.0052	15.0	165	0.0697	0.9667	0.9666
0.0028	16.0	176	0.0773	0.9667	0.9666
0.0066	17.0	187	0.0809	0.9667	0.9667
0.0022	18.0	198	0.0569	0.9667	0.9666
0.002	19.0	209	0.0537	0.9733	0.9733
0.0016	20.0	220	0.0502	0.9733	0.9733
0.0015	21.0	231	0.0460	0.9733	0.9733
0.0013	22.0	242	0.0451	0.9733	0.9733
0.0013	23.0	253	0.0448	0.9733	0.9733
0.0012	24.0	264	0.0450	0.9733	0.9733
0.0012	25.0	275	0.0457	0.9733	0.9733
0.0011	26.0	286	0.0465	0.9733	0.9733
0.0011	27.0	297	0.0466	0.9733	0.9733
0.001	28.0	308	0.0613	0.9667	0.9666
0.001	29.0	319	0.0658	0.9667	0.9666
0.0009	30.0	330	0.0674	0.9667	0.9666
0.0008	31.0	341	0.0693	0.9667	0.9666
0.0009	32.0	352	0.0711	0.9667	0.9666
0.0008	33.0	363	0.0718	0.9667	0.9666
0.0028	34.0	374	0.0824	0.9667	0.9667
0.0011	35.0	385	0.0884	0.9667	0.9666
0.0008	36.0	396	0.1060	0.9667	0.9666
0.0009	37.0	407	0.0875	0.96	0.9599
0.0015	38.0	418	0.0623	0.9667	0.9666
0.0007	39.0	429	0.0610	0.9733	0.9733
0.0007	40.0	440	0.0614	0.9733	0.9733
0.0007	41.0	451	0.0617	0.9733	0.9733
0.0007	42.0	462	0.0618	0.9733	0.9733
0.0006	43.0	473	0.0620	0.9733	0.9733
0.0006	44.0	484	0.0621	0.9733	0.9733
0.0006	45.0	495	0.0622	0.9733	0.9733
0.0006	46.0	506	0.0624	0.9733	0.9733
0.0006	47.0	517	0.0625	0.9733	0.9733
0.0006	48.0	528	0.0626	0.9733	0.9733
0.0006	49.0	539	0.0627	0.9733	0.9733
0.0006	50.0	550	0.0627	0.9733	0.9733

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 5, 2023
Updated: Jul 18, 2023