skillsBERT_v3_epoch200

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0256
Validation Loss: 7.8012
Epoch: 199

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:

optimizer: {'name': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
6.8416	6.7417	0
6.2162	6.1436	1
5.3514	5.3111	2
4.5931	4.9790	3
4.0664	4.8477	4
3.6654	4.6776	5
3.3343	4.5758	6
3.0431	4.4659	7
2.7726	4.4337	8
2.5106	4.6514	9
2.2625	4.6512	10
2.0222	4.7317	11
1.7924	4.6184	12
1.5719	4.7085	13
1.3735	4.8741	14
1.1820	5.0078	15
1.0164	5.0224	16
0.8588	5.2085	17
0.7247	5.2827	18
0.6140	5.3904	19
0.5144	5.3287	20
0.4330	5.4909	21
0.3603	5.6482	22
0.3120	5.4950	23
0.2634	5.8465	24
0.2322	5.8744	25
0.2077	5.8122	26
0.1904	5.9466	27
0.1698	6.0747	28
0.1536	6.2833	29
0.1462	6.2201	30
0.1367	6.3858	31
0.1309	6.4264	32
0.1196	6.3880	33
0.1129	6.6965	34
0.1100	6.4638	35
0.1050	6.4099	36
0.0994	6.4061	37
0.0973	6.4458	38
0.0934	6.5099	39
0.0909	6.4002	40
0.0896	6.5372	41
0.0839	6.5808	42
0.0817	6.4682	43
0.0814	6.6921	44
0.0793	6.7584	45
0.0765	6.7847	46
0.0765	6.8182	47
0.0712	6.7281	48
0.0710	6.7083	49
0.0700	6.6643	50
0.0695	6.7186	51
0.0681	6.9158	52
0.0647	6.8065	53
0.0662	7.0515	54
0.0630	6.9353	55
0.0624	7.0418	56
0.0640	6.7393	57
0.0610	7.0111	58
0.0602	7.0310	59
0.0577	6.7995	60
0.0616	6.7364	61
0.0575	7.0542	62
0.0532	7.1219	63
0.0601	6.9904	64
0.0528	7.2782	65
0.0551	7.2465	66
0.0551	7.2380	67
0.0542	6.9920	68
0.0536	7.1704	69
0.0529	7.1467	70
0.0488	7.0684	71
0.0494	7.0333	72
0.0518	7.3027	73
0.0505	7.1332	74
0.0481	7.0856	75
0.0493	7.2170	76
0.0490	7.3652	77
0.0480	7.3370	78
0.0485	7.1336	79
0.0480	7.2017	80
0.0483	7.2421	81
0.0463	7.3675	82
0.0455	7.3847	83
0.0441	7.3112	84
0.0454	7.2941	85
0.0474	7.4086	86
0.0451	7.1806	87
0.0417	7.4458	88
0.0464	7.2912	89
0.0422	7.6368	90
0.0434	7.4060	91
0.0427	7.4733	92
0.0433	7.4114	93
0.0416	7.3643	94
0.0428	7.5354	95
0.0426	7.2827	96
0.0400	7.4285	97
0.0413	7.4499	98
0.0422	7.4816	99
0.0407	7.3491	100
0.0402	7.3784	101
0.0412	7.3845	102
0.0389	7.5468	103
0.0372	7.4723	104
0.0421	7.4283	105
0.0382	7.4074	106
0.0392	7.4365	107
0.0399	7.4375	108
0.0396	7.5146	109
0.0389	7.2877	110
0.0384	7.3907	111
0.0386	7.5558	112
0.0378	7.3746	113
0.0359	7.5122	114
0.0412	7.4631	115
0.0341	7.5950	116
0.0380	7.3713	117
0.0382	7.4232	118
0.0350	7.5180	119
0.0374	7.4993	120
0.0373	7.4308	121
0.0357	7.4511	122
0.0364	7.5254	123
0.0349	7.4326	124
0.0371	7.5467	125
0.0344	7.5324	126
0.0375	7.4660	127
0.0365	7.5816	128
0.0348	7.5425	129
0.0333	7.5655	130
0.0331	7.6466	131
0.0369	7.6142	132
0.0332	7.7292	133
0.0349	7.6649	134
0.0343	7.5255	135
0.0335	7.7736	136
0.0334	7.6680	137
0.0356	7.4846	138
0.0323	7.7691	139
0.0339	7.6986	140
0.0333	7.4287	141
0.0333	7.5534	142
0.0322	7.5383	143
0.0333	7.5212	144
0.0320	7.5945	145
0.0335	7.5932	146
0.0332	7.7700	147
0.0323	7.4798	148
0.0318	7.5804	149
0.0336	7.5721	150
0.0332	7.3627	151
0.0334	7.6093	152
0.0293	7.7731	153
0.0336	7.6722	154
0.0319	7.5856	155
0.0325	7.6355	156
0.0287	7.5941	157
0.0318	7.6476	158
0.0304	7.5365	159
0.0313	7.6429	160
0.0319	7.5318	161
0.0311	7.7468	162
0.0321	7.6332	163
0.0301	7.8412	164
0.0292	7.6819	165
0.0313	7.5544	166
0.0311	7.6667	167
0.0274	7.7875	168
0.0317	7.6632	169
0.0305	7.8710	170
0.0311	7.5799	171
0.0311	7.7357	172
0.0271	7.7491	173
0.0317	7.8025	174
0.0294	7.6856	175
0.0302	7.7687	176
0.0293	7.8676	177
0.0315	7.6371	178
0.0286	7.8114	179
0.0288	7.6690	180
0.0304	7.6712	181
0.0293	7.8668	182
0.0305	7.8221	183
0.0284	7.7506	184
0.0309	7.6629	185
0.0282	7.7157	186
0.0262	7.8241	187
0.0305	7.6471	188
0.0288	7.6409	189
0.0283	7.7386	190
0.0286	7.8070	191
0.0284	7.7921	192
0.0287	7.9042	193
0.0289	7.7297	194
0.0276	7.8584	195
0.0278	7.8580	196
0.0258	7.9323	197
0.0306	7.7566	198
0.0256	7.8012	199

Framework versions

Transformers 4.28.0.dev0
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2

skillsBERT_v3_epoch200

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NSDT 3DConvert

UnrealSynth

DreamTexture.js