Training Loss	Epoch	Step	Validation Loss
148.4684	0.04	250	5.6972
5.0473	0.08	500	4.5986
4.4685	0.12	750	4.2115
4.0423	0.16	1000	3.8991
3.8019	0.2	1250	3.7080
3.6731	0.24	1500	3.5319
3.5226	0.28	1750	3.4277
3.3556	0.32	2000	3.3546
3.279	0.36	2250	3.2592
3.2406	0.4	2500	3.1792
3.1275	0.44	2750	3.1014
3.0569	0.48	3000	3.0938
3.0484	0.52	3250	2.9939
2.9883	0.56	3500	2.9230
2.9351	0.6	3750	2.8902
2.8526	0.64	4000	2.8242
2.8469	0.68	4250	2.8069
2.7228	0.72	4500	2.7304
2.6549	0.76	4750	2.6875
2.6304	0.8	5000	2.6461
2.6239	0.84	5250	2.6117
2.6334	0.88	5500	2.5914
2.622	0.92	5750	2.5320
2.5581	0.96	6000	2.5028
2.536	1.0	6250	2.5663
2.3565	1.04	6500	2.4770
2.2907	1.08	6750	2.4965
2.3328	1.12	7000	2.4514
2.2924	1.16	7250	2.4503
2.2799	1.2	7500	2.4083
2.2477	1.24	7750	2.4246
2.2662	1.28	8000	2.3792
2.2656	1.32	8250	2.3568
2.1932	1.36	8500	2.3682
2.1821	1.4	8750	2.3241
2.1663	1.44	9000	2.3182
2.1017	1.48	9250	2.3225
2.1884	1.52	9500	2.3069
2.1873	1.56	9750	2.2613
2.1094	1.6	10000	2.2730
2.0764	1.64	10250	2.2694
2.1051	1.68	10500	2.2537
2.1283	1.72	10750	2.2434
2.1212	1.76	11000	2.2164
2.0978	1.8	11250	2.2168
1.9994	1.84	11500	2.2015
2.0101	1.88	11750	2.1916
2.0156	1.92	12000	2.1699
2.014	1.96	12250	2.1821
1.9576	2.0	12500	2.1739
1.6838	2.04	12750	2.2527
1.6692	2.08	13000	2.2432
1.6237	2.12	13250	2.2824
1.5776	2.16	13500	2.2619
1.6468	2.2	13750	2.2499
1.6279	2.24	14000	2.2454
1.6277	2.28	14250	2.2624
1.6293	2.32	14500	2.2283
1.6217	2.36	14750	2.2720
1.5921	2.4	15000	2.2643
1.578	2.44	15250	2.2336
1.5559	2.48	15500	2.2311
1.5932	2.52	15750	2.2063
1.5532	2.56	16000	2.2205
1.5736	2.6	16250	2.2141
1.5931	2.64	16500	2.2399
1.5735	2.68	16750	2.2106
1.5161	2.72	17000	2.1973
1.5388	2.76	17250	2.2009
1.5139	2.8	17500	2.2083
1.5298	2.84	17750	2.2030
1.5339	2.88	18000	2.2031
1.4774	2.92	18250	2.2050
1.5067	2.96	18500	2.2074
1.4847	3.0	18750	2.2049

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

tpedelose/vilt_finetuned_100000

vilt_finetuned_100000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tpedelose/
vilt_finetuned_100000