TCS_Pair

mgh6/TCS_Pair

TCS_Pair is a text classification model from mgh6. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: esm
Access: Public
Created: Nov 15, 2023
Updated: Oct 14, 2024
SHA: 40382894

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Model card

From the Hugging Face model README

TCS_Pair

This model is a fine-tuned version of mgh6/esm_cluster_35M_linear on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1515

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: 0.001
train_batch_size: 80
eval_batch_size: 80
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
0.1694	0.13	100	0.1876
0.1104	0.27	200	0.1856
0.0976	0.4	300	0.2082
0.0858	0.54	400	0.1908
0.0832	0.67	500	0.1575
0.0853	0.81	600	0.1549
0.0788	0.94	700	0.1598
0.0629	1.07	800	0.1386
0.0579	1.21	900	0.2071
0.0571	1.34	1000	0.1667
0.0567	1.48	1100	0.1421
0.0527	1.61	1200	0.1623
0.0553	1.74	1300	0.1827
0.0557	1.88	1400	0.1535
0.0523	2.01	1500	0.1353
0.0358	2.15	1600	0.1409
0.041	2.28	1700	0.1502
0.042	2.42	1800	0.1427
0.04	2.55	1900	0.1505
0.04	2.68	2000	0.1366
0.0392	2.82	2100	0.1236
0.0409	2.95	2200	0.1210
0.0327	3.09	2300	0.1448
0.0293	3.22	2400	0.1535
0.0265	3.36	2500	0.1529
0.0268	3.49	2600	0.1557
0.0241	3.62	2700	0.1505
0.0264	3.76	2800	0.1447
0.0286	3.89	2900	0.1442
0.0306	4.03	3000	0.1504
0.0152	4.16	3100	0.1311
0.0185	4.3	3200	0.1873
0.0212	4.43	3300	0.1396
0.022	4.56	3400	0.1663
0.0206	4.7	3500	0.1443
0.0231	4.83	3600	0.1483
0.0172	4.97	3700	0.1413
0.0134	5.1	3800	0.1472
0.0129	5.23	3900	0.1442
0.0126	5.37	4000	0.1369
0.013	5.5	4100	0.1576
0.012	5.64	4200	0.1348
0.013	5.77	4300	0.1572
0.0123	5.91	4400	0.1529
0.0099	6.04	4500	0.1425
0.0072	6.17	4600	0.1540
0.0081	6.31	4700	0.1463
0.0075	6.44	4800	0.1540
0.0078	6.58	4900	0.1418
0.0062	6.71	5000	0.1640
0.0062	6.85	5100	0.1392
0.0068	6.98	5200	0.1572
0.0054	7.11	5300	0.1485
0.0046	7.25	5400	0.1445
0.0054	7.38	5500	0.1488
0.0033	7.52	5600	0.1478
0.0041	7.65	5700	0.1514
0.0044	7.79	5800	0.1508
0.0025	7.92	5900	0.1515

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: esm
Created: Nov 15, 2023
Updated: Oct 14, 2024