TuNNe / modelllls /mnist_model_lr1.2e-05_bs16_epochs45.json
Niharmahesh's picture
Upload 109 files
f5f6805 verified
{"accuracy": [0.46000000834465027, 0.777571439743042, 0.8288571238517761, 0.8537142872810364, 0.8694285750389099, 0.8806190490722656, 0.8880476355552673, 0.8948571681976318, 0.8990952372550964, 0.9029523730278015, 0.9069523811340332, 0.9096666574478149, 0.9112380743026733, 0.9139524102210999, 0.9159047603607178, 0.9179999828338623, 0.9195238351821899, 0.9211905002593994, 0.9230952262878418, 0.9241904616355896, 0.9259523749351501, 0.9272857308387756, 0.9286190271377563, 0.9295714497566223, 0.9307619333267212, 0.9317619204521179, 0.9330475926399231, 0.9337618947029114, 0.934238076210022, 0.9354285597801208, 0.936380922794342, 0.937333345413208, 0.9380000233650208, 0.9387618899345398, 0.9398571252822876, 0.940666675567627, 0.9415714144706726, 0.9424285888671875, 0.9431904554367065, 0.9435238242149353, 0.944523811340332, 0.9453333616256714, 0.9459523558616638, 0.946238100528717, 0.9468571543693542], "loss": [1.8972949981689453, 1.1774541139602661, 0.829535722732544, 0.6600012183189392, 0.5627772808074951, 0.5004153251647949, 0.4571913182735443, 0.4254692494869232, 0.4010326564311981, 0.38145318627357483, 0.36527398228645325, 0.3515574336051941, 0.339686781167984, 0.3292393386363983, 0.31992849707603455, 0.31150317192077637, 0.3038153350353241, 0.2967471778392792, 0.29021522402763367, 0.28414690494537354, 0.2784653306007385, 0.27311381697654724, 0.2680629789829254, 0.26328423619270325, 0.25874876976013184, 0.2544364035129547, 0.2503189444541931, 0.24637195467948914, 0.2425776571035385, 0.238924041390419, 0.23539908230304718, 0.23198777437210083, 0.2286834716796875, 0.22547851502895355, 0.22236664593219757, 0.21932297945022583, 0.2163635790348053, 0.21349571645259857, 0.21070517599582672, 0.20799383521080017, 0.20535719394683838, 0.20278790593147278, 0.20028170943260193, 0.19783300161361694, 0.19544030725955963], "val_accuracy": [0.7121666669845581, 0.8075000047683716, 0.8424999713897705, 0.8613333106040955, 0.8734999895095825, 0.8828333616256714, 0.8901666402816772, 0.8951666951179504, 0.8993333578109741, 0.9023333191871643, 0.906000018119812, 0.9081666469573975, 0.9098333120346069, 0.9113333225250244, 0.9139999747276306, 0.9148333072662354, 0.9168333411216736, 0.9175000190734863, 0.9191666841506958, 0.9203333258628845, 0.921500027179718, 0.9229999780654907, 0.9238333106040955, 0.924833357334137, 0.9253333210945129, 0.9259999990463257, 0.9261666536331177, 0.9268333315849304, 0.9281666874885559, 0.9291666746139526, 0.9300000071525574, 0.9301666617393494, 0.9304999709129333, 0.9308333396911621, 0.9313333630561829, 0.9321666955947876, 0.9331666827201843, 0.9331666827201843, 0.934166669845581, 0.934333324432373, 0.934333324432373, 0.9348333477973938, 0.9348333477973938, 0.9350000023841858, 0.9351666569709778], "val_loss": [1.4730535745620728, 0.9622023701667786, 0.7312817573547363, 0.6070884466171265, 0.5311920642852783, 0.48053526878356934, 0.44453954696655273, 0.4176631569862366, 0.39679378271102905, 0.3799991011619568, 0.3661295473575592, 0.3544238209724426, 0.34434205293655396, 0.3355086147785187, 0.32766231894493103, 0.32061442732810974, 0.31425634026527405, 0.30844467878341675, 0.303112655878067, 0.2982051372528076, 0.2936434745788574, 0.28939592838287354, 0.2854059934616089, 0.2816581726074219, 0.2781318426132202, 0.2747727036476135, 0.2715800106525421, 0.2685651183128357, 0.26568031311035156, 0.26290827989578247, 0.26024603843688965, 0.25767600536346436, 0.2551976442337036, 0.2528323233127594, 0.2505262792110443, 0.24831803143024445, 0.24617397785186768, 0.2440703958272934, 0.24204382300376892, 0.24006696045398712, 0.23815813660621643, 0.23631541430950165, 0.23449480533599854, 0.2327040433883667, 0.2309461086988449]}