deberta-classifier-feedback-1024-pseudo

TTian/deberta-classifier-feedback-1024-pseudo

deberta-classifier-feedback-1024-pseudo is a token classification model from TTian. Use it when you need labels on individual words, such as names. 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: Token Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Nov 25, 2022
Updated: Nov 26, 2022
SHA: 094d116d

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Model card

From the Hugging Face model README

deberta-classifier-feedback-1024-pseudo

This model is a fine-tuned version of TTian/deberta-classifier-feedback-1024 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1018

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5566	0.01	10	0.8514
0.3244	0.03	20	0.8647
0.2631	0.04	30	0.6700
0.2237	0.06	40	0.8904
0.2103	0.07	50	0.7951
0.2576	0.08	60	0.8669
0.2519	0.1	70	0.9586
0.2419	0.11	80	0.7507
0.2088	0.13	90	1.1316
0.218	0.14	100	0.7750
0.1886	0.15	110	0.9505
0.1979	0.17	120	0.9668
0.2069	0.18	130	0.9559
0.2633	0.2	140	1.1578
0.2176	0.21	150	0.9224
0.2026	0.22	160	0.9700
0.2231	0.24	170	1.0094
0.2396	0.25	180	1.1268
0.2172	0.27	190	0.9728
0.2105	0.28	200	0.9813
0.2816	0.29	210	0.8179
0.1927	0.31	220	1.0210
0.1686	0.32	230	1.0608
0.1662	0.34	240	0.9698
0.1969	0.35	250	0.9445
0.2037	0.36	260	1.0223
0.1684	0.38	270	0.9921
0.1934	0.39	280	0.9738
0.1927	0.41	290	0.9370
0.1978	0.42	300	1.0144
0.1591	0.43	310	0.9222
0.1748	0.45	320	0.9433
0.2245	0.46	330	0.9773
0.2297	0.48	340	0.9884
0.1746	0.49	350	1.0024
0.152	0.5	360	0.9463
0.1514	0.52	370	1.0633
0.1898	0.53	380	1.1181
0.1438	0.55	390	1.0994
0.1426	0.56	400	1.0228
0.1545	0.58	410	1.1413
0.146	0.59	420	1.0416
0.1295	0.6	430	1.0037
0.1538	0.62	440	1.0532
0.1584	0.63	450	1.1754
0.1607	0.65	460	1.0540
0.1518	0.66	470	1.0318
0.1447	0.67	480	1.0777
0.1432	0.69	490	1.0318
0.1491	0.7	500	1.0717
0.1134	0.72	510	1.0512
0.1106	0.73	520	1.1904
0.1521	0.74	530	1.0705
0.1485	0.76	540	1.0390
0.1431	0.77	550	1.1089
0.1537	0.79	560	1.0316
0.1472	0.8	570	1.1694
0.129	0.81	580	1.1325
0.1286	0.83	590	1.0471
0.1338	0.84	600	1.1001
0.1285	0.86	610	1.0770
0.1379	0.87	620	1.1107
0.1299	0.88	630	1.0579
0.1151	0.9	640	1.0898
0.1119	0.91	650	1.1335
0.1297	0.93	660	1.1061
0.1218	0.94	670	1.1080
0.1038	0.95	680	1.0922
0.1286	0.97	690	1.1035
0.1263	0.98	700	1.1118
0.1182	1.0	710	1.1018

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Nov 25, 2022
Updated: Nov 26, 2022