End of training
Browse files- README.md +71 -0
- config.json +282 -0
- model.safetensors +3 -0
- runs/Apr13_23-50-14_b485411c29cb/events.out.tfevents.1713052220.b485411c29cb.159.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: other
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base_model: nvidia/mit-b2
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tags:
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- generated_from_trainer
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model-index:
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- name: segformer-b2-finetuned
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# segformer-b2-finetuned
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This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5204
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- Mean Iou: 0.1825
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- Mean Accuracy: 0.2798
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- Overall Accuracy: 0.6420
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- Per Category Iou: [0.9142691288036651, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.3142004341534009, 0.0, 0.003682913518478972, nan, nan, 0.0, 0.09172351933896877, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.09730988810230647, nan, nan, nan, 0.0, 0.0, 0.9051505354829877, 0.0, nan, nan, nan, nan, nan, 0.3923942271862065, nan, nan, nan, 0.0, 0.0, nan, 0.35265901085368995, nan, 0.19254235491492325, 0.049966760972743995, 0.11681963220492537, 0.10314154531218374, nan, nan, 0.3096201109834452, nan, 0.00769115639193742, nan, 0.0, nan, 0.28766783984147737, 0.8922548763781069, nan, nan, 0.0, nan, nan, 0.0, 0.45913823493730865, 0.00039839497899743395, nan, nan, 0.3294171958059549, 0.0, 0.0, 0.2671846076829642, nan, nan, 0.0, nan, 0.0, nan, 0.3159265837773831, nan, 0.331420855139111, nan, 0.6764366245603519, 0.45869407404577234, nan, 0.6076370770804199, 0.0, 0.28964539522710336, nan, nan, nan, 0.01132884262094305, 0.07350650765125524, nan, 0.45421384725808006, nan, nan, nan, nan, 0.0, 0.0, 0.0]
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- Per Category Accuracy: [0.9647457074649063, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.5664851113792766, 0.0, 0.005903479602703702, nan, nan, 0.0, 0.24703884276950558, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.10665478609973669, nan, nan, nan, 0.0, 0.0, 0.9731339228095599, 0.0, nan, nan, nan, nan, nan, 0.47161212620060644, nan, nan, nan, 0.0, 0.0, nan, 0.40322527832351013, nan, 0.2442109998758946, 0.07079225115228281, 0.4617999839239304, 0.10811595497587993, nan, nan, 0.4783842629632726, nan, 0.00769115639193742, nan, 0.0, nan, 0.7675853747883402, 0.9796493929735344, nan, nan, 0.0, nan, nan, nan, 0.8162476926297361, 0.0008705784659068079, nan, nan, 0.4390048922813946, 0.0, nan, 0.5876177795985252, nan, nan, 0.0, nan, 0.0, nan, 0.5925394425509742, nan, 0.947028699455884, nan, 0.930032723306266, 0.7094970746409787, nan, 0.9363039912520503, 0.0, 0.32225188061150206, nan, nan, nan, 0.015030467163168585, 0.08358722845606995, nan, 0.47285248278361725, nan, nan, nan, nan, 0.0, 0.0, 0.0]
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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| 2.1424 | 1.0 | 80 | 2.0996 | 0.0546 | 0.1090 | 0.5538 | [0.8635263872732099, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.04096287598229609, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0006413344762643675, 0.11187094662246744, 0.0, 0.0, nan, 0.009208358967234912, nan, 0.0, nan, 0.0, nan, 0.1952057456966726, 0.5391626011901571, nan, nan, 0.0, nan, nan, nan, 0.30213360552577073, 0.0013042568629283906, nan, nan, 0.10099189548808515, 0.0, 0.0, 0.20232205115780788, nan, nan, 0.0, nan, 0.0, nan, 0.00014188659088253458, nan, 0.02997904308599439, nan, 0.3178189486368429, 0.0, nan, 0.06737796193189176, 0.0, 0.00022243791959880287, nan, nan, nan, 0.0, 0.0010399643440796315, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9668328903987039, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.0410746430876176, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0006414609037401865, 0.6592706823100717, 0.0, nan, nan, 0.009234602693160423, nan, 0.0, nan, 0.0, nan, 0.8747716892052864, 0.5402535544175053, nan, nan, 0.0, nan, nan, nan, 0.3867882040254493, 0.001308099951336896, nan, nan, 0.15378636055524447, 0.0, nan, 0.45614843643315583, nan, nan, 0.0, nan, 0.0, nan, 0.0001452135065645047, nan, 0.03001529215121448, nan, 0.38358986789480065, 0.0, nan, 0.8367799826327469, 0.0, 0.00022243791959880287, nan, nan, nan, 0.0, 0.0010403507468232146, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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| 2.2828 | 2.0 | 160 | 1.7615 | 0.0945 | 0.1779 | 0.5867 | [0.8958283628425443, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.2650072796505768, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.34558464610605727, 0.0, nan, nan, nan, nan, nan, 0.001342492924699451, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.03134658554836191, 0.07434650697545013, 0.14816743444538535, 0.0, nan, nan, 0.1642281017568831, nan, 0.0, nan, 0.0, nan, 0.21751635761310004, 0.8482858476607933, nan, nan, 0.0, nan, nan, 0.0, 0.3355451231346219, 0.0007206612479542298, nan, nan, 0.17902599374530498, 0.0, 0.0, 0.1821567724347404, nan, nan, 0.0, nan, 0.0, nan, 0.08738143266136364, nan, 0.3523381734895822, nan, 0.4578501392083283, 0.026466256863995993, nan, 0.19600262650085765, 0.0, 0.0006358605478336033, nan, nan, nan, 0.0, 0.01185518249609946, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9620532316859247, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.30869834643358013, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, 0.0, 0.35267811654420506, 0.0, nan, nan, nan, nan, nan, 0.0013435898056636548, nan, nan, nan, 0.0, 0.0, nan, 0.0, nan, 0.03487620485665825, 0.0877956587177666, 0.9495806825184652, 0.0, nan, nan, 0.18737884559505472, nan, 0.0, nan, 0.0, nan, 0.6075359853676155, 0.9599076030512481, nan, nan, 0.0, nan, nan, nan, 0.730404003882091, 0.0011697002977824804, nan, nan, 0.24758333087736878, 0.0, nan, 0.6244537757749556, nan, nan, 0.0, nan, 0.0, nan, 0.17650274624366827, nan, 0.5634979906824567, nan, 0.9168100836262272, 0.05246734826546894, nan, 0.9408226932106906, 0.0, 0.000647092129741972, nan, nan, nan, 0.0, 0.011951648460528597, nan, 0.0, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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| 1.6882 | 3.0 | 240 | 1.6107 | 0.1184 | 0.2217 | 0.6185 | [0.9078840245470673, nan, nan, 0.008295603914122974, 0.0, 0.0, nan, nan, 0.2708327282233001, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.01068541636772373, nan, nan, nan, 0.0, 0.0, 0.46267216714352255, 0.0, nan, nan, nan, nan, nan, 0.024547604967474868, nan, nan, nan, 0.0, 0.0, nan, 0.0008676150408433873, nan, 0.1433677278791662, 0.07036698250826051, 0.19145609711560646, 0.005432652527979793, nan, nan, 0.3511881601309627, nan, 0.0, nan, 0.0, nan, 0.3110435634268891, 0.7803689251507627, nan, nan, 0.0, nan, nan, 0.0, 0.37167048021355864, 0.00796633894165082, nan, nan, 0.20235549099892491, 0.0, 0.0, 0.19702921038237098, nan, nan, 0.0, nan, 0.0, nan, 0.196409676360054, nan, 0.3126647596612261, nan, 0.45378078640357195, 0.1961058567559167, nan, 0.4348653304102725, 0.0, 0.09971110666170876, nan, nan, nan, 0.0, 0.027258874654325863, nan, 0.00018401315972899881, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.962685361139455, nan, nan, 0.008580406058652916, 0.0, 0.0, nan, nan, 0.6082319559048954, 0.0, 0.0, nan, nan, 0.0, 0.0, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.011183084208523974, nan, nan, nan, 0.0, 0.0, 0.4723470739411505, 0.0, nan, nan, nan, nan, nan, 0.025122708483377616, nan, nan, nan, 0.0, 0.0, nan, 0.0008677144728225279, nan, 0.18170582881727548, 0.08256384100531004, 0.8053247514907578, 0.0055721815258174025, nan, nan, 0.693375366697316, nan, 0.0, nan, 0.0, nan, 0.8249390957739768, 0.9847885255882247, nan, nan, 0.0, nan, nan, nan, 0.6429491205034031, 0.025510181303546157, nan, nan, 0.2607166013380095, 0.0, nan, 0.6117796668032227, nan, nan, 0.0, nan, 0.0, nan, 0.45981429755101694, nan, 0.7929869483267542, nan, 0.9546115622348806, 0.4176112522900538, nan, 0.8931431511915865, 0.0, 0.10573889832564912, nan, nan, nan, 0.0, 0.02991008397116742, nan, 0.00018401315972899881, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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| 1.2604 | 4.0 | 320 | 1.6147 | 0.1360 | 0.2333 | 0.6191 | [0.9088378924504633, nan, nan, 0.006172723690876001, 0.0, 0.0, nan, nan, 0.2700373922939359, 0.0, 0.0008555624667843959, nan, nan, 0.0, 4.0354892454211606e-05, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.02426232674940841, nan, nan, nan, 0.0, 0.0, 0.7289752537055415, 0.0, nan, nan, nan, nan, nan, 0.28889040191898774, nan, nan, nan, 0.0, 0.0, nan, 0.16201117318435754, nan, 0.135735470771455, 0.03517806587907951, 0.15354830524143917, 0.006966164344611885, nan, nan, 0.32221034023700923, nan, 0.0, nan, 0.0, nan, 0.22444128114761158, 0.8783578551511888, nan, nan, 0.0, nan, nan, 0.0, 0.40173180636428096, 0.0, nan, nan, 0.23734584573654993, 0.0, 0.0, 0.22104203752331683, nan, nan, 0.0, nan, 0.0, nan, 0.23749390906705647, nan, 0.3526015471706624, nan, 0.5776847601044198, 0.23668970134621362, nan, 0.45186616741152313, 0.0, 0.03700022196272956, nan, nan, nan, 0.0, 0.03473255140621984, nan, 0.0006468341372292079, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9619262964873231, nan, nan, 0.0066266516274572996, 0.0, 0.0, nan, nan, 0.48755748344802846, 0.0, 0.0009753102518962857, nan, nan, 0.0, 0.00010248751848435602, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.025149424827047646, nan, nan, nan, 0.0, 0.0, 0.7734101690309871, 0.0, nan, nan, nan, nan, nan, 0.33383364905676366, nan, nan, nan, 0.0, 0.0, nan, 0.16665029469548134, nan, 0.19807998593472056, 0.038453234371039764, 0.5908759373985942, 0.007113185635161693, nan, nan, 0.41136970652273425, nan, 0.0, nan, 0.0, nan, 0.927765410498326, 0.9786645417755971, nan, nan, 0.0, nan, nan, nan, 0.7116025043292926, 0.0, nan, nan, 0.3043050602693702, 0.0, nan, 0.5754642905912877, nan, nan, 0.0, nan, 0.0, nan, 0.5412278229078578, nan, 0.8339912514669796, nan, 0.933341413162041, 0.5849890668400213, nan, 0.9625317595600296, 0.0, 0.038764862897355014, nan, nan, nan, 0.0, 0.037886106363478736, nan, 0.0006468341372292079, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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| 1.0751 | 5.0 | 400 | 1.4502 | 0.1533 | 0.2610 | 0.6364 | [0.9124349689545805, nan, nan, 0.02800772200772201, 0.0, 0.0, nan, nan, 0.2607173969525149, 0.0, 0.016277630093587268, nan, nan, 0.0, 0.2270782252376314, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.06811442675213822, nan, nan, nan, 0.0, 0.0, 0.8687202091128081, 0.0, nan, nan, nan, nan, nan, 0.2974419443865597, nan, nan, nan, 0.0, 0.0, nan, 0.2241877764060571, nan, 0.1515213091365017, 0.11467393720272052, 0.15593087165983874, 0.06270734404475378, nan, nan, 0.3909308803524001, nan, 0.00036651405428684, nan, 0.0, nan, 0.2868722957605033, 0.8932905474743855, nan, nan, 0.0, nan, nan, 0.0, 0.4606306663381574, 0.0, nan, nan, 0.2746428721042269, 0.0, 0.0, 0.2902813189084895, nan, nan, 0.0, nan, 0.0, nan, 0.23567975453556203, nan, 0.2633975673362132, nan, 0.6213946929880785, 0.19223303523308344, nan, 0.3910326336956379, 0.0, 0.0782475879668719, nan, nan, nan, 0.0, 0.04951054808145317, nan, 0.0039163982487469195, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9723338074467475, nan, nan, 0.036527151144054144, 0.0, 0.0, nan, nan, 0.5563745474707282, 0.0, 0.024287670339701375, nan, nan, 0.0, 0.4949268678350244, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.07957310052761732, nan, nan, nan, 0.0, 0.0, 0.9594801136685271, 0.0, nan, nan, nan, nan, nan, 0.35418721895066846, nan, nan, nan, 0.0, 0.0, nan, 0.23487229862475442, nan, 0.18122750589500683, 0.1695115196991079, 0.6156271304513505, 0.06458817223512596, nan, nan, 0.6005278053091004, nan, 0.00036653644441322095, nan, 0.0, nan, 0.704683029047025, 0.981986176270458, nan, nan, 0.0, nan, nan, nan, 0.8182902307053099, 0.0, nan, nan, 0.41058324246264477, 0.0, nan, 0.5752509217533798, nan, nan, 0.0, nan, 0.0, nan, 0.4514089981122244, nan, 0.9410896546818877, nan, 0.9400072718458369, 0.5185509130666036, nan, 0.9568874023092014, 0.0, 0.08339399822049665, nan, nan, nan, 0.0, 0.05856927002055931, nan, 0.003925614074218641, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
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| 59 |
+
| 0.8905 | 6.0 | 480 | 1.4667 | 0.1800 | 0.2730 | 0.6443 | [0.905905633929436, nan, nan, 0.024166791343606712, 0.0, 0.0, nan, nan, 0.24485564712590058, 0.0, 0.015787326198173315, nan, nan, 0.0, 0.06429772737073612, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.03667124940377655, nan, nan, nan, 0.0, 0.0, 0.8804276721466182, 0.0, nan, nan, nan, nan, nan, 0.3332586108924466, nan, nan, nan, 0.0, 0.0, nan, 0.4213651736237913, nan, 0.26751989465534015, 0.055711846291814596, 0.13013760175315084, 0.24910351422424098, nan, nan, 0.3617097863839749, nan, 0.0014722187436048589, nan, 0.0, nan, 0.2951801534066646, 0.8831103091857646, nan, nan, 0.0, nan, nan, 0.0, 0.4552010963960052, 0.0005173340957204218, nan, nan, 0.33631148566193747, 0.0, 0.0, 0.2316926931106472, nan, nan, 0.0, nan, 0.0, nan, 0.28006018253711673, nan, 0.31920078586451395, nan, 0.6357359156101294, 0.4996092528915286, nan, 0.7065472845246002, 0.0, 0.25958851917703835, nan, nan, nan, 0.0, 0.03625532263347527, nan, 0.24853846153846154, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9731492877427024, nan, nan, 0.02765468901063487, 0.0, 0.0, nan, nan, 0.46221584423208634, 0.0, 0.028696942035600182, nan, nan, 0.0, 0.130979048623007, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.03925592943744181, nan, nan, nan, 0.0, 0.0, 0.9294892841373532, 0.0, nan, nan, nan, nan, nan, 0.3868933419678144, nan, nan, nan, 0.0, 0.0, nan, 0.4344793713163065, nan, 0.376093678897944, 0.07095183410882307, 0.44409844508682567, 0.29089244237984635, nan, nan, 0.6039668987258636, nan, 0.0014722547183931042, nan, 0.0, nan, 0.695893863979281, 0.968431042509759, nan, nan, 0.0, nan, nan, nan, 0.8511801683508091, 0.0013572095058239468, nan, nan, 0.3665085025492912, 0.0, nan, 0.5919961081523966, nan, nan, 0.0, nan, 0.0, nan, 0.5771724367680598, nan, 0.9013656246665955, nan, 0.9261665252696643, 0.8311920099284912, nan, 0.889541054256585, 0.0, 0.2789978160640621, nan, nan, nan, 0.0, 0.04386812315771222, nan, 0.2522318565812585, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
|
| 60 |
+
| 0.9353 | 7.0 | 560 | 1.4553 | 0.1798 | 0.2827 | 0.6483 | [0.9107786868458373, nan, nan, 0.0014616526623505823, 0.0, 0.0, nan, nan, 0.273034108979976, 0.0, 0.055445239451347134, nan, nan, 0.0, 0.14374652321603995, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.05923873957861652, nan, nan, nan, 0.0, 0.0, 0.8647824910018748, 0.0, nan, nan, nan, nan, nan, 0.34473373360840903, nan, nan, nan, 0.0, 0.0, nan, 0.48846614301982655, nan, 0.21764580015718807, 0.036326081530570146, 0.15283853725792182, 0.08106948659924282, nan, nan, 0.3613395456882474, nan, 0.006905334913324456, nan, 0.0, nan, 0.2762568515044489, 0.9008219583837287, nan, nan, 0.0, nan, nan, 0.0, 0.46352166564119973, 0.0, nan, nan, 0.33000840465580095, 0.0, 0.0, 0.2757454007189681, nan, nan, 0.0, nan, 0.0, nan, 0.304404558768512, nan, 0.35536825831649466, nan, 0.6770693433236729, 0.3916188194209899, nan, 0.5843015698430157, 0.0, 0.2347843086146227, nan, nan, nan, 0.0, 0.05726667371313814, nan, 0.3212099543883598, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.966932793101307, nan, nan, 0.0019235417338059942, 0.0, 0.0, nan, nan, 0.5487753171781742, 0.0, 0.08700908478407338, nan, nan, 0.0, 0.35563168914071536, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0667981538399928, nan, nan, nan, 0.0, 0.0, 0.9765530358780441, 0.0, nan, nan, nan, nan, nan, 0.3832862269940507, nan, nan, nan, 0.0, 0.0, nan, 0.5477570399476097, nan, 0.2735102180118314, 0.044630033512420876, 0.69072619178751, 0.0844090584241558, nan, nan, 0.5399058229742586, nan, 0.006906157506819105, nan, 0.0, nan, 0.6752517502760224, 0.9802403036922966, nan, nan, 0.0, nan, nan, nan, 0.8314969520511015, 0.0, nan, nan, 0.4498614835990687, 0.0, nan, 0.5898538850198006, nan, nan, 0.0, nan, 0.0, nan, 0.569920303410809, nan, 0.9319143639531989, nan, 0.9287116713125682, 0.7263636900892382, nan, 0.9396970379185026, 0.0, 0.25500485319097305, nan, nan, nan, 0.0, 0.06710262317009735, nan, 0.33064376725123373, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
|
| 61 |
+
| 0.5169 | 8.0 | 640 | 1.5020 | 0.1745 | 0.2703 | 0.6444 | [0.9081863782011966, nan, nan, 0.0032025739757349163, 0.0, 0.0, nan, nan, 0.2805276118120908, 0.0, 0.0194719730356517, nan, nan, 0.0, 0.028064115049397008, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.031044880309479255, nan, nan, nan, 0.0, 0.0, 0.8884815641270853, 0.0, nan, nan, nan, nan, nan, 0.3379070768347919, nan, nan, nan, 0.0, 0.0, nan, 0.34515052234654137, nan, 0.19105767061023177, 0.05652715709865933, 0.1547500666185713, 0.03326140899773438, nan, nan, 0.31290392129023437, nan, 0.0016066514146779519, nan, 0.0, nan, 0.2962907055537498, 0.901996445252759, nan, nan, 0.0, nan, nan, 0.0, 0.47591977144189845, 0.0, nan, nan, 0.28169751673196775, 0.0, 0.0, 0.25067266318048587, nan, nan, 0.0, nan, 0.0, nan, 0.3265994118153242, nan, 0.3129466942416583, nan, 0.6767515781788395, 0.4129130725781734, nan, 0.604027616749705, 0.0, 0.2700754463285277, nan, nan, nan, 0.0008216176739090743, 0.04560087450984325, nan, 0.451933678002205, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9717208749831292, nan, nan, 0.0043304866258459555, 0.0, 0.0, nan, nan, 0.47930595870976156, 0.0, 0.028376366521049315, nan, nan, 0.0, 0.06708540138504561, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.03205750728352172, nan, nan, nan, 0.0, 0.0, 0.9466527788784856, 0.0, nan, nan, nan, nan, nan, 0.39914300758341453, nan, nan, nan, 0.0, 0.0, nan, 0.3656516044531762, nan, 0.22985872667852564, 0.07409342799836037, 0.7088355864639494, 0.034426925138467034, nan, nan, 0.4737032747015671, nan, 0.0016066514146779519, nan, 0.0, nan, 0.6888620195866966, 0.9768828564266018, nan, nan, 0.0, nan, nan, nan, 0.8284331449377407, 0.0, nan, nan, 0.3784923815979488, 0.0, nan, 0.6050969547999454, nan, nan, 0.0, nan, 0.0, nan, 0.5511450512091159, nan, 0.944432590063658, nan, 0.921197430614471, 0.7802375746114296, nan, 0.9299359984562442, 0.0, 0.2924451993852625, nan, nan, nan, 0.0012186865267433988, 0.05631517673577568, nan, 0.4708617949647308, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
|
| 62 |
+
| 0.6238 | 9.0 | 720 | 1.4849 | 0.1839 | 0.2801 | 0.6487 | [0.9122554015886276, nan, nan, 0.002470252841867913, 0.0, 0.0, nan, nan, 0.3127948297001309, 0.0, 0.06578942909523439, nan, nan, 0.0, 0.07320344647282151, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.13295915079782272, nan, nan, nan, 0.0, 0.0, 0.9095009116013264, 0.0, nan, nan, nan, nan, nan, 0.3742842162617841, nan, nan, nan, 0.0, 0.0, nan, 0.4058788598574822, nan, 0.28061300308301534, 0.060087719298245613, 0.13627408546141104, 0.05961007500185125, nan, nan, 0.32234386065996856, nan, 0.012001014084162877, nan, 0.0, nan, 0.2904958016703202, 0.8916012123977447, nan, nan, 0.0, nan, nan, 0.0, 0.4608265384852228, 5.152005632859492e-05, nan, nan, 0.30818675778624244, 0.0, 0.0, 0.274219176132995, nan, nan, 0.0, nan, 0.0, nan, 0.3185477315272881, nan, 0.3267800277869991, nan, 0.6388361638361638, 0.4157944612599361, nan, 0.5833592894390467, 0.0, 0.27790195064282547, nan, nan, nan, 0.0, 0.07508638303790156, nan, 0.45796774641715915, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9681510184101092, nan, nan, 0.0034643893006767643, 0.0, 0.0, nan, nan, 0.4909167998434493, 0.0, 0.10548564473712808, nan, nan, 0.0, 0.18857703401121506, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.15700369432235717, nan, nan, nan, 0.0, 0.0, 0.9657635830493507, 0.0, nan, nan, nan, nan, nan, 0.4406853518450151, nan, nan, nan, 0.0, 0.0, nan, 0.4699901768172888, nan, 0.3466445000620527, 0.08273594027216717, 0.5980029949122216, 0.0629243344648919, nan, nan, 0.42755414382893697, nan, 0.012001014084162877, nan, 0.0, nan, 0.6606168041868293, 0.9797299717079111, nan, nan, 0.0, nan, nan, nan, 0.8069864951442146, 0.0001071481188808379, nan, nan, 0.405363089799888, 0.0, nan, 0.5921241294551414, nan, nan, 0.0, nan, 0.0, nan, 0.5857742015392632, nan, 0.945197197624382, nan, 0.930032723306266, 0.6949352875125584, nan, 0.9336506609204644, 0.0, 0.3042242983094718, nan, nan, nan, 0.0, 0.08693121299943028, nan, 0.4779044804416316, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
|
| 63 |
+
| 0.84 | 10.0 | 800 | 1.5204 | 0.1825 | 0.2798 | 0.6420 | [0.9142691288036651, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.3142004341534009, 0.0, 0.003682913518478972, nan, nan, 0.0, 0.09172351933896877, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.09730988810230647, nan, nan, nan, 0.0, 0.0, 0.9051505354829877, 0.0, nan, nan, nan, nan, nan, 0.3923942271862065, nan, nan, nan, 0.0, 0.0, nan, 0.35265901085368995, nan, 0.19254235491492325, 0.049966760972743995, 0.11681963220492537, 0.10314154531218374, nan, nan, 0.3096201109834452, nan, 0.00769115639193742, nan, 0.0, nan, 0.28766783984147737, 0.8922548763781069, nan, nan, 0.0, nan, nan, 0.0, 0.45913823493730865, 0.00039839497899743395, nan, nan, 0.3294171958059549, 0.0, 0.0, 0.2671846076829642, nan, nan, 0.0, nan, 0.0, nan, 0.3159265837773831, nan, 0.331420855139111, nan, 0.6764366245603519, 0.45869407404577234, nan, 0.6076370770804199, 0.0, 0.28964539522710336, nan, nan, nan, 0.01132884262094305, 0.07350650765125524, nan, 0.45421384725808006, nan, nan, nan, nan, 0.0, 0.0, 0.0] | [0.9647457074649063, nan, nan, 0.0, 0.0, 0.0, nan, nan, 0.5664851113792766, 0.0, 0.005903479602703702, nan, nan, 0.0, 0.24703884276950558, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.10665478609973669, nan, nan, nan, 0.0, 0.0, 0.9731339228095599, 0.0, nan, nan, nan, nan, nan, 0.47161212620060644, nan, nan, nan, 0.0, 0.0, nan, 0.40322527832351013, nan, 0.2442109998758946, 0.07079225115228281, 0.4617999839239304, 0.10811595497587993, nan, nan, 0.4783842629632726, nan, 0.00769115639193742, nan, 0.0, nan, 0.7675853747883402, 0.9796493929735344, nan, nan, 0.0, nan, nan, nan, 0.8162476926297361, 0.0008705784659068079, nan, nan, 0.4390048922813946, 0.0, nan, 0.5876177795985252, nan, nan, 0.0, nan, 0.0, nan, 0.5925394425509742, nan, 0.947028699455884, nan, 0.930032723306266, 0.7094970746409787, nan, 0.9363039912520503, 0.0, 0.32225188061150206, nan, nan, nan, 0.015030467163168585, 0.08358722845606995, nan, 0.47285248278361725, nan, nan, nan, nan, 0.0, 0.0, 0.0] |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.39.3
|
| 69 |
+
- Pytorch 2.2.1+cu121
|
| 70 |
+
- Datasets 2.18.0
|
| 71 |
+
- Tokenizers 0.15.2
|
config.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "nvidia/mit-b2",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"SegformerForSemanticSegmentation"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"classifier_dropout_prob": 0.1,
|
| 8 |
+
"decoder_hidden_size": 768,
|
| 9 |
+
"depths": [
|
| 10 |
+
3,
|
| 11 |
+
4,
|
| 12 |
+
6,
|
| 13 |
+
3
|
| 14 |
+
],
|
| 15 |
+
"downsampling_rates": [
|
| 16 |
+
1,
|
| 17 |
+
4,
|
| 18 |
+
8,
|
| 19 |
+
16
|
| 20 |
+
],
|
| 21 |
+
"drop_path_rate": 0.1,
|
| 22 |
+
"hidden_act": "gelu",
|
| 23 |
+
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|
| 24 |
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"hidden_sizes": [
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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512
|
| 29 |
+
],
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "background",
|
| 32 |
+
"1": "candy",
|
| 33 |
+
"10": "cake",
|
| 34 |
+
"100": "oyster mushroom",
|
| 35 |
+
"101": "white button mushroom",
|
| 36 |
+
"102": "salad",
|
| 37 |
+
"103": "other ingredients",
|
| 38 |
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"11": "wine",
|
| 39 |
+
"12": "milkshake",
|
| 40 |
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"13": "coffee",
|
| 41 |
+
"14": "juice",
|
| 42 |
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"15": "milk",
|
| 43 |
+
"16": "tea",
|
| 44 |
+
"17": "almond",
|
| 45 |
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"18": "red beans",
|
| 46 |
+
"19": "cashew",
|
| 47 |
+
"2": "egg tart",
|
| 48 |
+
"20": "dried cranberries",
|
| 49 |
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"21": "soy",
|
| 50 |
+
"22": "walnut",
|
| 51 |
+
"23": "peanut",
|
| 52 |
+
"24": "egg",
|
| 53 |
+
"25": "apple",
|
| 54 |
+
"26": "date",
|
| 55 |
+
"27": "apricot",
|
| 56 |
+
"28": "avocado",
|
| 57 |
+
"29": "banana",
|
| 58 |
+
"3": "french fries",
|
| 59 |
+
"30": "strawberry",
|
| 60 |
+
"31": "cherry",
|
| 61 |
+
"32": "blueberry",
|
| 62 |
+
"33": "raspberry",
|
| 63 |
+
"34": "mango",
|
| 64 |
+
"35": "olives",
|
| 65 |
+
"36": "peach",
|
| 66 |
+
"37": "lemon",
|
| 67 |
+
"38": "pear",
|
| 68 |
+
"39": "fig",
|
| 69 |
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"4": "chocolate",
|
| 70 |
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"40": "pineapple",
|
| 71 |
+
"41": "grape",
|
| 72 |
+
"42": "kiwi",
|
| 73 |
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"43": "melon",
|
| 74 |
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"44": "orange",
|
| 75 |
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"45": "watermelon",
|
| 76 |
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"46": "steak",
|
| 77 |
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"47": "pork",
|
| 78 |
+
"48": "chicken duck",
|
| 79 |
+
"49": "sausage",
|
| 80 |
+
"5": "biscuit",
|
| 81 |
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"50": "fried meat",
|
| 82 |
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"51": "lamb",
|
| 83 |
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"52": "sauce",
|
| 84 |
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"53": "crab",
|
| 85 |
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"54": "fish",
|
| 86 |
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"55": "shellfish",
|
| 87 |
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"56": "shrimp",
|
| 88 |
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"57": "soup",
|
| 89 |
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"58": "bread",
|
| 90 |
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"59": "corn",
|
| 91 |
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"6": "popcorn",
|
| 92 |
+
"60": "hamburg",
|
| 93 |
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"61": "pizza",
|
| 94 |
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"62": " hanamaki baozi",
|
| 95 |
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"63": "wonton dumplings",
|
| 96 |
+
"64": "pasta",
|
| 97 |
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"65": "noodles",
|
| 98 |
+
"66": "rice",
|
| 99 |
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"67": "pie",
|
| 100 |
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"68": "tofu",
|
| 101 |
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"69": "eggplant",
|
| 102 |
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"7": "pudding",
|
| 103 |
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"70": "potato",
|
| 104 |
+
"71": "garlic",
|
| 105 |
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"72": "cauliflower",
|
| 106 |
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"73": "tomato",
|
| 107 |
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"74": "kelp",
|
| 108 |
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"75": "seaweed",
|
| 109 |
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"76": "spring onion",
|
| 110 |
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"77": "rape",
|
| 111 |
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"78": "ginger",
|
| 112 |
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"79": "okra",
|
| 113 |
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"8": "ice cream",
|
| 114 |
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"80": "lettuce",
|
| 115 |
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"81": "pumpkin",
|
| 116 |
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"82": "cucumber",
|
| 117 |
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"83": "white radish",
|
| 118 |
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"84": "carrot",
|
| 119 |
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"85": "asparagus",
|
| 120 |
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"86": "bamboo shoots",
|
| 121 |
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"87": "broccoli",
|
| 122 |
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"88": "celery stick",
|
| 123 |
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"89": "cilantro mint",
|
| 124 |
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"9": "cheese butter",
|
| 125 |
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"90": "snow peas",
|
| 126 |
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"91": " cabbage",
|
| 127 |
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"92": "bean sprouts",
|
| 128 |
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"93": "onion",
|
| 129 |
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"94": "pepper",
|
| 130 |
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"95": "green beans",
|
| 131 |
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"96": "French beans",
|
| 132 |
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"97": "king oyster mushroom",
|
| 133 |
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"98": "shiitake",
|
| 134 |
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"99": "enoki mushroom"
|
| 135 |
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},
|
| 136 |
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"image_size": 224,
|
| 137 |
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"initializer_range": 0.02,
|
| 138 |
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"label2id": {
|
| 139 |
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" cabbage": "91",
|
| 140 |
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" hanamaki baozi": "62",
|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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"apricot": "27",
|
| 145 |
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"asparagus": "85",
|
| 146 |
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"avocado": "28",
|
| 147 |
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"background": "0",
|
| 148 |
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"bamboo shoots": "86",
|
| 149 |
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"banana": "29",
|
| 150 |
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|
| 151 |
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"biscuit": "5",
|
| 152 |
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|
| 153 |
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"bread": "58",
|
| 154 |
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"broccoli": "87",
|
| 155 |
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"cake": "10",
|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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"cucumber": "82",
|
| 170 |
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"date": "26",
|
| 171 |
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"dried cranberries": "20",
|
| 172 |
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"egg": "24",
|
| 173 |
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"egg tart": "2",
|
| 174 |
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"eggplant": "69",
|
| 175 |
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"enoki mushroom": "99",
|
| 176 |
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"fig": "39",
|
| 177 |
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"fish": "54",
|
| 178 |
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"french fries": "3",
|
| 179 |
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|
| 180 |
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|
| 181 |
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"ginger": "78",
|
| 182 |
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|
| 183 |
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"green beans": "95",
|
| 184 |
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"hamburg": "60",
|
| 185 |
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|
| 186 |
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"juice": "14",
|
| 187 |
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"kelp": "74",
|
| 188 |
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"king oyster mushroom": "97",
|
| 189 |
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"kiwi": "42",
|
| 190 |
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|
| 191 |
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"lemon": "37",
|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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"milk": "15",
|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 200 |
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"onion": "93",
|
| 201 |
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"orange": "44",
|
| 202 |
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"other ingredients": "103",
|
| 203 |
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|
| 204 |
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|
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|
| 206 |
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|
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|
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|
| 212 |
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|
| 214 |
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"rape": "77",
|
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|
| 220 |
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|
| 222 |
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"sausage": "49",
|
| 224 |
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"seaweed": "75",
|
| 225 |
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"shellfish": "55",
|
| 226 |
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"shiitake": "98",
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| 227 |
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"shrimp": "56",
|
| 228 |
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"snow peas": "90",
|
| 229 |
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"soup": "57",
|
| 230 |
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"soy": "21",
|
| 231 |
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"spring onion": "76",
|
| 232 |
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"steak": "46",
|
| 233 |
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"strawberry": "30",
|
| 234 |
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"tea": "16",
|
| 235 |
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"tofu": "68",
|
| 236 |
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"tomato": "73",
|
| 237 |
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"walnut": "22",
|
| 238 |
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"watermelon": "45",
|
| 239 |
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"white button mushroom": "101",
|
| 240 |
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"white radish": "83",
|
| 241 |
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"wine": "11",
|
| 242 |
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"wonton dumplings": "63"
|
| 243 |
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},
|
| 244 |
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"layer_norm_eps": 1e-06,
|
| 245 |
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"mlp_ratios": [
|
| 246 |
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4,
|
| 247 |
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4,
|
| 248 |
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|
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],
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| 251 |
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"model_type": "segformer",
|
| 252 |
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"num_attention_heads": [
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| 253 |
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1,
|
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|
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|
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],
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|
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"num_encoder_blocks": 4,
|
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"patch_sizes": [
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3,
|
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|
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],
|
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"reshape_last_stage": true,
|
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],
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],
|
| 280 |
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"torch_dtype": "float32",
|
| 281 |
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"transformers_version": "4.39.3"
|
| 282 |
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}
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size 109757776
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runs/Apr13_23-50-14_b485411c29cb/events.out.tfevents.1713052220.b485411c29cb.159.0
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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