bank-transactions-statements-classification

moctarsmal/bank-transactions-statements-classification

bank-transactions-statements-classification is a text classification model from moctarsmal. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: flaubert
Access: Public
Created: Oct 11, 2023
Updated: Nov 20, 2023
SHA: dfc59a5c

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Base models

flaubert/flaubert_small_cased

Model card

From the Hugging Face model README

bank-transactions-statements-classification

This model is a fine-tuned version of flaubert/flaubert_small_cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0458
Accuracy: 0.7683
F1 Macro: 0.7945
F1 Weighted: 0.7635

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted
No log	0.29	50	3.6955	0.1012	0.0238	0.0880
No log	0.58	100	3.2965	0.2150	0.0569	0.1598
No log	0.87	150	3.1122	0.2530	0.0833	0.1889
No log	1.16	200	2.6838	0.3622	0.1800	0.3051
No log	1.45	250	2.5128	0.3808	0.1938	0.3139
No log	1.74	300	2.1573	0.4913	0.3241	0.4522
No log	2.03	350	2.0208	0.5220	0.3910	0.4832
No log	2.33	400	2.0454	0.5053	0.4090	0.4613
No log	2.62	450	1.7601	0.5599	0.4682	0.5303
3.1338	2.91	500	1.6837	0.5965	0.5489	0.5736
3.1338	3.2	550	1.6337	0.5885	0.5744	0.5609
3.1338	3.49	600	1.4553	0.6491	0.6219	0.6322
3.1338	3.78	650	1.4483	0.6531	0.6441	0.6345
3.1338	4.07	700	1.4108	0.6625	0.6810	0.6522
3.1338	4.36	750	1.3241	0.6924	0.6999	0.6769
3.1338	4.65	800	1.3254	0.6824	0.6960	0.6703
3.1338	4.94	850	1.3349	0.6937	0.6952	0.6759
3.1338	5.23	900	1.2264	0.7057	0.7157	0.6931
3.1338	5.52	950	1.3012	0.6891	0.7061	0.6748
1.6259	5.81	1000	1.2756	0.7071	0.7224	0.6925
1.6259	6.1	1050	1.1432	0.7317	0.7440	0.7267
1.6259	6.4	1100	1.2014	0.7290	0.7434	0.7161
1.6259	6.69	1150	1.1029	0.7483	0.7656	0.7367
1.6259	6.98	1200	1.1643	0.7310	0.7470	0.7227
1.6259	7.27	1250	1.1112	0.7477	0.7561	0.7371
1.6259	7.56	1300	1.1662	0.7350	0.7668	0.7254
1.6259	7.85	1350	1.0756	0.7577	0.7823	0.7530
1.6259	8.14	1400	1.1390	0.7403	0.7657	0.7318
1.6259	8.43	1450	1.1555	0.7437	0.7637	0.7377
1.092	8.72	1500	1.1086	0.7437	0.7686	0.7384
1.092	9.01	1550	1.0789	0.7510	0.7780	0.7427
1.092	9.3	1600	1.0613	0.7543	0.7823	0.7492
1.092	9.59	1650	1.0750	0.7477	0.7701	0.7382
1.092	9.88	1700	1.1412	0.7423	0.7772	0.7349
1.092	10.17	1750	1.0580	0.7617	0.7918	0.7549
1.092	10.47	1800	1.0667	0.7670	0.7856	0.7580
1.092	10.76	1850	1.1344	0.7403	0.7757	0.7332
1.092	11.05	1900	1.0808	0.7603	0.7944	0.7571
1.092	11.34	1950	1.0367	0.7690	0.7932	0.7655
0.9029	11.63	2000	1.0921	0.7577	0.7861	0.7504
0.9029	11.92	2050	1.0833	0.7603	0.7912	0.7541
0.9029	12.21	2100	1.0523	0.7716	0.7968	0.7662
0.9029	12.5	2150	1.0467	0.7683	0.7939	0.7614
0.9029	12.79	2200	1.0515	0.7703	0.7987	0.7667
0.9029	13.08	2250	1.0604	0.7696	0.8020	0.7654
0.9029	13.37	2300	1.0900	0.7716	0.8002	0.7663
0.9029	13.66	2350	1.0348	0.7743	0.8009	0.7686
0.9029	13.95	2400	1.0495	0.7656	0.7929	0.7610
0.9029	14.24	2450	1.0411	0.7670	0.7956	0.7624
0.7924	14.53	2500	1.0458	0.7683	0.7945	0.7635
0.7924	14.83	2550	1.0401	0.7696	0.7982	0.7649

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: flaubert
License: mit
Created: Oct 11, 2023
Updated: Nov 20, 2023