From 6e768fcd829d8a26a934ab506b8927e93e5f88f9 Mon Sep 17 00:00:00 2001 From: Ivan Shcheklein Date: Thu, 29 Jun 2023 15:04:45 +0000 Subject: [PATCH 1/2] Update params.yaml:lr --- params.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/params.yaml b/params.yaml index 0b17a14..f51088f 100644 --- a/params.yaml +++ b/params.yaml @@ -1,4 +1,4 @@ epochs: 25 seed: 10102022 batch_size: 8 -lr: 0.02 +lr: 0.03 From 830ed83a3f22ba26316e37c93448770a75e8a486 Mon Sep 17 00:00:00 2001 From: Ivan Shcheklein Date: Thu, 29 Jun 2023 08:25:24 -0700 Subject: [PATCH 2/2] CML PR for 6e768fcd [skip ci] (#48) Co-authored-by: Olivaw[bot] --- dvc.lock | 31 ++++++++----- evaluation/metrics.json | 24 +++++----- evaluation/plots/metrics/eval/accuracy.tsv | 50 ++++++++++----------- evaluation/plots/metrics/eval/loss.tsv | 50 ++++++++++----------- evaluation/plots/metrics/train/accuracy.tsv | 50 ++++++++++----------- evaluation/plots/metrics/train/loss.tsv | 50 ++++++++++----------- 6 files changed, 131 insertions(+), 124 deletions(-) diff --git a/dvc.lock b/dvc.lock index 23a0c4b..d3129f4 100644 --- a/dvc.lock +++ b/dvc.lock @@ -9,21 +9,25 @@ stages: size: 131292221 nfiles: 9736 - path: params.yaml - md5: acc863c0b1d50f969eba8171c96d0c0c + hash: md5 + md5: 0c85d384cb96569bf4fdd5e68e64e752 size: 49 - path: requirements.txt md5: 33b65719f3f8c6963ad05b9f73e41d46 size: 130 - path: train.py - md5: ca4ce86d7636396b62044407ad8533cb - size: 2899 + hash: md5 + md5: dad21e7bdd48be9972742b0d643b68ef + size: 2972 outs: - path: evaluation - md5: fb17e1b2a75a6dd25cedf8c07dc78461.dir - size: 2628 + hash: md5 + md5: ec0e59758d32bd6bc14cb6769374c2ad.dir + size: 2638 nfiles: 5 - path: model - md5: 032fe17b55fc6d269828e1a59515569f.dir + hash: md5 + md5: 4fdff20717f64e7af54230de62525898.dir size: 2784925 nfiles: 3 inference: @@ -37,15 +41,18 @@ stages: md5: e0cdb83c7bdbcb7356bd9504d64f01b4 size: 2243 - path: model - md5: 032fe17b55fc6d269828e1a59515569f.dir + hash: md5 + md5: 4fdff20717f64e7af54230de62525898.dir size: 2784925 nfiles: 3 outs: - path: mispredicted - md5: ea15d6ef3ec38d775b6793cbeb7e0e9c.dir - size: 331146 - nfiles: 22 + hash: md5 + md5: e24bdee10e886339a368a435d707633a.dir + size: 232326 + nfiles: 15 - path: predictions - md5: bf038b72751d2d3f7492b790fa41e5cc.dir - size: 3097961 + hash: md5 + md5: db4c53d3552a49dc9aaca3236c184068.dir + size: 3096172 nfiles: 9708 diff --git a/evaluation/metrics.json b/evaluation/metrics.json index e6435df..99ae76b 100644 --- a/evaluation/metrics.json +++ b/evaluation/metrics.json @@ -1,17 +1,17 @@ { - "loss_0": 14.12459945678711, - "acc_0": 0.20661985874176025, + "loss_0": 19.53324317932129, + "acc_0": 0.24774323403835297, "train": { - "loss": 0.7644255757331848, - "accuracy": 0.6601299047470093 + "loss": 0.7821952700614929, + "accuracy": 0.6426852941513062 }, "eval": { - "loss": 0.7797742486000061, - "accuracy": 0.664995014667511 + "loss": 0.7713489532470703, + "accuracy": 0.6720160245895386 }, - "step": 25, - "best_loss": 0.7395905256271362, - "best_acc": 0.6870611906051636, - "best_test_loss": 0.7395905256271362, - "best_test_acc": 0.6870611906051636 -} \ No newline at end of file + "step": 24, + "best_loss": 0.7713490724563599, + "best_acc": 0.6720160245895386, + "best_test_loss": 0.7893836498260498, + "best_test_acc": 0.6491228342056274 +} diff --git a/evaluation/plots/metrics/eval/accuracy.tsv b/evaluation/plots/metrics/eval/accuracy.tsv index 7bf00d3..3f209f2 100644 --- a/evaluation/plots/metrics/eval/accuracy.tsv +++ b/evaluation/plots/metrics/eval/accuracy.tsv @@ -1,26 +1,26 @@ step accuracy -0 0.44734203815460205 -1 0.4974924921989441 -2 0.523570716381073 -3 0.5315948128700256 -4 0.5396188497543335 -5 0.5376128554344177 -6 0.605817437171936 -7 0.5426278710365295 -8 0.5807422399520874 -9 0.4824473559856415 -10 0.6018053889274597 -11 0.5155466198921204 -12 0.6288866400718689 -13 0.6489468216896057 -14 0.5827482342720032 -15 0.6379137635231018 -16 0.6359077095985413 -17 0.6278836727142334 -18 0.6439318060874939 -19 0.6870611906051636 -20 0.6860581636428833 -21 0.6870611906051636 -22 0.6690070033073425 -23 0.6328986883163452 -24 0.664995014667511 +0 0.4332998991012573 +1 0.47843530774116516 +2 0.5275827646255493 +3 0.4754262864589691 +4 0.5275827646255493 +5 0.5075225830078125 +6 0.5907723307609558 +7 0.46740221977233887 +8 0.5115346312522888 +9 0.5476429462432861 +10 0.5396188497543335 +11 0.49448344111442566 +12 0.5476429462432861 +13 0.5295887589454651 +14 0.523570716381073 +15 0.5757271647453308 +16 0.6078234910964966 +17 0.5867602825164795 +18 0.6088264584541321 +19 0.6409227848052979 +20 0.5777332186698914 +21 0.605817437171936 +22 0.6579739451408386 +23 0.6068204641342163 +24 0.6720160245895386 diff --git a/evaluation/plots/metrics/eval/loss.tsv b/evaluation/plots/metrics/eval/loss.tsv index 4dbf0fc..cb0f202 100644 --- a/evaluation/plots/metrics/eval/loss.tsv +++ b/evaluation/plots/metrics/eval/loss.tsv @@ -1,26 +1,26 @@ step loss -0 1.1391490697860718 -1 1.0640074014663696 -2 1.0321743488311768 -3 1.0226926803588867 -4 1.0150742530822754 -5 0.9597489833831787 -6 0.9160928130149841 -7 0.9499363899230957 -8 1.0241367816925049 -9 1.257628083229065 -10 0.8823992609977722 -11 1.0682893991470337 -12 0.8337254524230957 -13 0.8018106818199158 -14 0.8994255661964417 -15 0.8304926156997681 -16 0.8110775947570801 -17 0.8407321572303772 -18 0.7832642197608948 -19 0.7395902276039124 -20 0.7470212578773499 -21 0.7632863521575928 -22 0.783747673034668 -23 0.8550904393196106 -24 0.7797742486000061 +0 1.2398864030838013 +1 1.0714735984802246 +2 0.9940785765647888 +3 1.077634572982788 +4 1.0218955278396606 +5 1.019205093383789 +6 0.9022558331489563 +7 1.4203314781188965 +8 1.1304153203964233 +9 0.9340459704399109 +10 1.0923727750778198 +11 1.1085975170135498 +12 0.9418710470199585 +13 1.1368012428283691 +14 1.1770416498184204 +15 0.9431477785110474 +16 0.9126014113426208 +17 0.9191710948944092 +18 0.8741702437400818 +19 0.8080430626869202 +20 1.0211316347122192 +21 0.9008750319480896 +22 0.7951508164405823 +23 0.9430606365203857 +24 0.7713489532470703 diff --git a/evaluation/plots/metrics/train/accuracy.tsv b/evaluation/plots/metrics/train/accuracy.tsv index 3beb0ce..25ebc8c 100644 --- a/evaluation/plots/metrics/train/accuracy.tsv +++ b/evaluation/plots/metrics/train/accuracy.tsv @@ -1,26 +1,26 @@ step accuracy -0 0.41217517852783203 -1 0.4495909512042999 -2 0.4785851836204529 -3 0.4885707497596741 -4 0.5109480023384094 -5 0.5199711322784424 -6 0.540182888507843 -7 0.5519730448722839 -8 0.5689364671707153 -9 0.5717035531997681 -10 0.5761549472808838 -11 0.5837343335151672 -12 0.5879451632499695 -13 0.6021414995193481 -14 0.6017805337905884 -15 0.621270477771759 -16 0.6204283237457275 -17 0.6282483339309692 -18 0.6373917460441589 -19 0.6446102261543274 -20 0.6418431401252747 -21 0.6515880823135376 -22 0.6518287062644958 -23 0.6610924005508423 -24 0.6601299047470093 +0 0.4119345545768738 +1 0.44321462512016296 +2 0.47365254163742065 +3 0.4769008755683899 +4 0.49879691004753113 +5 0.5123917460441589 +6 0.5212945342063904 +7 0.5364533066749573 +8 0.5477622747421265 +9 0.5493263006210327 +10 0.5579884648323059 +11 0.5664100050926208 +12 0.5717035531997681 +13 0.5762752890586853 +14 0.5802454352378845 +15 0.5931183695793152 +16 0.6016602516174316 +17 0.6023821234703064 +18 0.615615963935852 +19 0.6180221438407898 +20 0.624639093875885 +21 0.6333012580871582 +22 0.6352261900901794 +23 0.6424446702003479 +24 0.6426852941513062 diff --git a/evaluation/plots/metrics/train/loss.tsv b/evaluation/plots/metrics/train/loss.tsv index 267a91d..a5d441b 100644 --- a/evaluation/plots/metrics/train/loss.tsv +++ b/evaluation/plots/metrics/train/loss.tsv @@ -1,26 +1,26 @@ step loss -0 1.263222098350525 -1 1.1330503225326538 -2 1.080898404121399 -3 1.0505465269088745 -4 1.0180203914642334 -5 0.9919012784957886 -6 0.9764916896820068 -7 0.951702892780304 -8 0.9275215864181519 -9 0.9204141497612 -10 0.8914502263069153 -11 0.8831818699836731 -12 0.8823336362838745 -13 0.8643054366111755 -14 0.8548759818077087 -15 0.8393694162368774 -16 0.830086886882782 -17 0.8222585320472717 -18 0.8006247878074646 -19 0.796380341053009 -20 0.7972770929336548 -21 0.7823106646537781 -22 0.7746572494506836 -23 0.7669628858566284 -24 0.7644255757331848 +0 1.2554514408111572 +1 1.1421111822128296 +2 1.0910067558288574 +3 1.068566918373108 +4 1.0367845296859741 +5 1.007491946220398 +6 1.0001298189163208 +7 0.9721055030822754 +8 0.9549821019172668 +9 0.941870391368866 +10 0.920568585395813 +11 0.9105956554412842 +12 0.8976600766181946 +13 0.8883676528930664 +14 0.8740643858909607 +15 0.8637950420379639 +16 0.8497344255447388 +17 0.8463383913040161 +18 0.8233553767204285 +19 0.8245226740837097 +20 0.8159818649291992 +21 0.8019565343856812 +22 0.7967948317527771 +23 0.783129870891571 +24 0.7821952700614929