deberta-classifier-feedback-1024

TTian/deberta-classifier-feedback-1024

deberta-classifier-feedback-1024 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

377

Public

Repo size

5.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.7 GB · 99%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Nov 20, 2022
Updated: Nov 20, 2022
SHA: 88aca402

Try a prompt

Model card

From the Hugging Face model README

deberta-classifier-feedback-1024

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

Loss: 0.6246

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
1.038	0.04	10	0.8470
0.8858	0.08	20	0.7317
0.8166	0.13	30	0.8127
0.7791	0.17	40	0.8111
0.7977	0.21	50	0.7540
0.7815	0.25	60	0.7204
0.7467	0.3	70	0.7446
0.7525	0.34	80	0.7522
0.716	0.38	90	0.7542
0.7617	0.42	100	0.7095
0.7618	0.47	110	0.7147
0.7297	0.51	120	0.8648
0.7797	0.55	130	0.7150
0.7466	0.59	140	0.7360
0.745	0.64	150	0.6842
0.718	0.68	160	0.7408
0.7455	0.72	170	0.7029
0.7476	0.76	180	0.7106
0.695	0.81	190	0.6781
0.6603	0.85	200	0.7713
0.7763	0.89	210	0.7619
0.6858	0.93	220	0.7252
0.6567	0.97	230	0.7017
0.6529	1.02	240	0.7030
0.6752	1.06	250	0.6717
0.7078	1.1	260	0.6868
0.6428	1.14	270	0.6694
0.6173	1.19	280	0.7137
0.6753	1.23	290	0.7363
0.6326	1.27	300	0.6808
0.6241	1.31	310	0.6855
0.6717	1.36	320	0.6627
0.633	1.4	330	0.7079
0.6541	1.44	340	0.6475
0.5998	1.48	350	0.7008
0.7088	1.53	360	0.6558
0.6209	1.57	370	0.6536
0.6159	1.61	380	0.6805
0.6297	1.65	390	0.6617
0.6506	1.69	400	0.6459
0.6397	1.74	410	0.6450
0.6181	1.78	420	0.7158
0.6609	1.82	430	0.6336
0.6066	1.86	440	0.6232
0.6418	1.91	450	0.6272
0.6499	1.95	460	0.6268
0.6021	1.99	470	0.6431
0.5899	2.03	480	0.6395
0.5524	2.08	490	0.6278
0.5182	2.12	500	0.6690
0.5768	2.16	510	0.6400
0.5326	2.2	520	0.6386
0.5641	2.25	530	0.6759
0.5794	2.29	540	0.6483
0.5341	2.33	550	0.6273
0.5604	2.37	560	0.6393
0.529	2.42	570	0.6389
0.5433	2.46	580	0.6272
0.5574	2.5	590	0.6387
0.5279	2.54	600	0.6613
0.5066	2.58	610	0.6376
0.5235	2.63	620	0.6449
0.516	2.67	630	0.6285
0.5888	2.71	640	0.6391
0.5326	2.75	650	0.6226
0.5486	2.8	660	0.6373
0.5176	2.84	670	0.6272
0.5038	2.88	680	0.6235
0.5335	2.92	690	0.6266
0.557	2.97	700	0.6246

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Nov 20, 2022
Updated: Nov 20, 2022