skillsBERT_v2_tf_epoch200

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

Train Loss: 0.0276
Validation Loss: 8.4065
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
6.9368	6.9678	0
6.1821	6.1973	1
5.2896	5.5216	2
4.6036	5.0930	3
4.1260	4.9491	4
3.7779	4.7258	5
3.4894	4.7463	6
3.2243	4.6753	7
2.9684	4.7601	8
2.7213	4.7217	9
2.4751	4.7763	10
2.2359	4.9020	11
1.9973	4.9020	12
1.7702	5.1024	13
1.5533	5.0703	14
1.3533	5.2204	15
1.1692	5.3927	16
1.0013	5.3786	17
0.8445	5.5459	18
0.7170	5.5764	19
0.5973	5.6444	20
0.5046	5.8587	21
0.4235	5.8703	22
0.3569	5.8058	23
0.3052	6.1211	24
0.2655	5.9994	25
0.2298	6.4393	26
0.2044	6.3036	27
0.1878	6.3250	28
0.1713	6.3984	29
0.1566	6.3334	30
0.1463	6.6641	31
0.1359	6.5607	32
0.1298	6.8457	33
0.1216	6.5984	34
0.1176	6.6329	35
0.1112	7.0239	36
0.1071	6.6365	37
0.1010	6.7788	38
0.0976	6.9059	39
0.0971	7.0272	40
0.0954	6.9061	41
0.0907	6.7402	42
0.0849	6.8301	43
0.0826	7.0355	44
0.0858	6.9938	45
0.0809	7.0757	46
0.0783	7.1545	47
0.0744	7.3133	48
0.0716	7.2899	49
0.0750	7.4284	50
0.0722	7.3191	51
0.0723	7.2923	52
0.0666	7.3033	53
0.0710	7.2679	54
0.0650	7.2664	55
0.0661	7.1938	56
0.0640	7.1925	57
0.0641	7.4666	58
0.0602	7.3531	59
0.0625	7.2725	60
0.0627	7.4885	61
0.0620	7.3922	62
0.0552	7.4525	63
0.0594	7.2247	64
0.0581	7.3419	65
0.0548	7.4633	66
0.0583	7.5051	67
0.0543	7.3567	68
0.0545	7.4085	69
0.0539	7.5690	70
0.0546	7.3862	71
0.0511	7.7210	72
0.0530	7.5558	73
0.0516	7.8195	74
0.0501	7.5061	75
0.0521	7.5066	76
0.0499	7.6577	77
0.0501	7.5698	78
0.0497	7.5531	79
0.0480	7.3663	80
0.0482	7.5768	81
0.0487	7.5996	82
0.0487	7.3785	83
0.0472	7.6577	84
0.0457	7.5219	85
0.0465	7.6445	86
0.0465	7.4914	87
0.0466	7.7647	88
0.0451	7.6801	89
0.0443	7.7295	90
0.0461	7.7421	91
0.0454	7.7623	92
0.0442	7.6821	93
0.0430	7.9835	94
0.0449	7.6681	95
0.0430	7.8815	96
0.0424	7.9022	97
0.0445	7.8707	98
0.0431	7.7530	99
0.0421	7.7138	100
0.0414	7.7932	101
0.0425	7.5632	102
0.0379	7.8132	103
0.0433	7.6901	104
0.0386	7.8083	105
0.0426	7.7248	106
0.0410	7.8584	107
0.0418	7.7491	108
0.0401	7.8016	109
0.0421	7.7656	110
0.0389	7.8427	111
0.0389	7.7864	112
0.0396	7.8669	113
0.0396	7.7623	114
0.0379	7.8776	115
0.0392	7.9052	116
0.0390	7.8197	117
0.0406	7.8233	118
0.0371	7.8755	119
0.0395	7.9325	120
0.0369	8.0833	121
0.0373	7.9204	122
0.0372	8.0792	123
0.0391	7.7565	124
0.0347	7.8271	125
0.0373	7.9994	126
0.0365	8.0182	127
0.0362	8.1003	128
0.0371	8.0342	129
0.0362	8.1524	130
0.0374	8.0588	131
0.0355	7.9384	132
0.0349	8.0925	133
0.0358	8.1963	134
0.0367	7.9769	135
0.0347	7.8656	136
0.0349	8.0004	137
0.0339	7.9382	138
0.0371	8.1195	139
0.0360	7.9568	140
0.0308	8.0514	141
0.0370	7.8408	142
0.0344	7.9932	143
0.0328	8.0507	144
0.0323	8.1716	145
0.0347	7.9123	146
0.0330	8.0947	147
0.0347	7.9371	148
0.0357	8.1293	149
0.0318	8.1566	150
0.0352	8.1061	151
0.0320	8.4313	152
0.0339	8.0567	153
0.0318	8.1668	154
0.0352	7.8946	155
0.0327	8.0129	156
0.0336	8.2448	157
0.0328	7.9567	158
0.0339	7.9868	159
0.0320	7.9006	160
0.0321	8.3043	161
0.0324	8.0456	162
0.0327	8.0358	163
0.0304	8.1395	164
0.0315	8.1250	165
0.0338	8.1198	166
0.0345	8.0466	167
0.0304	8.0713	168
0.0277	8.0176	169
0.0334	8.2149	170
0.0292	8.2865	171
0.0315	8.1717	172
0.0313	8.3362	173
0.0324	8.1874	174
0.0312	8.1653	175
0.0319	8.1341	176
0.0297	8.1978	177
0.0321	8.1678	178
0.0326	8.2196	179
0.0294	8.1050	180
0.0300	8.0882	181
0.0305	8.2307	182
0.0304	8.2959	183
0.0300	8.2581	184
0.0288	8.1481	185
0.0305	8.2346	186
0.0306	8.1175	187
0.0311	8.2394	188
0.0298	8.1912	189
0.0277	8.2177	190
0.0315	8.1094	191
0.0305	8.1813	192
0.0283	8.3636	193
0.0307	8.3034	194
0.0280	8.3165	195
0.0309	8.3315	196
0.0275	8.3439	197
0.0314	8.3021	198
0.0276	8.4065	199

Framework versions

Transformers 4.28.0.dev0
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.2

skillsBERT_v2_tf_epoch200

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NSDT 3DConvert

UnrealSynth

DreamTexture.js