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Lalith47
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custom-cloud-model

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End of training

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  1. README.md +54 -54
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ model-index:
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  name: imagefolder
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  type: imagefolder
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  config: default
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- split: test
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  args: default
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9300411343574524
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Lalith47/custom-cloud-model](https://huggingface.co/Lalith47/custom-cloud-model) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3349
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- - Accuracy: 0.9300
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  ## Model description
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@@ -69,56 +69,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 8 | 0.4142 | 0.9198 |
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- | 0.0016 | 2.0 | 16 | 0.3421 | 0.9218 |
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- | 0.0043 | 3.0 | 24 | 0.3281 | 0.9095 |
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- | 0.0034 | 4.0 | 32 | 0.2599 | 0.9362 |
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- | 0.0025 | 5.0 | 40 | 0.3839 | 0.9156 |
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- | 0.0025 | 6.0 | 48 | 0.3061 | 0.9321 |
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- | 0.0051 | 7.0 | 56 | 0.4106 | 0.9239 |
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- | 0.0041 | 8.0 | 64 | 0.4680 | 0.9095 |
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- | 0.0073 | 9.0 | 72 | 0.4199 | 0.9074 |
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- | 0.0037 | 10.0 | 80 | 0.3102 | 0.9300 |
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- | 0.0037 | 11.0 | 88 | 0.4335 | 0.9136 |
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- | 0.0147 | 12.0 | 96 | 0.5457 | 0.9033 |
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- | 0.0269 | 13.0 | 104 | 0.3233 | 0.9300 |
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- | 0.0032 | 14.0 | 112 | 0.4310 | 0.9115 |
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- | 0.0022 | 15.0 | 120 | 0.3929 | 0.9012 |
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- | 0.0022 | 16.0 | 128 | 0.3390 | 0.9259 |
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- | 0.0106 | 17.0 | 136 | 0.3798 | 0.9136 |
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- | 0.0229 | 18.0 | 144 | 0.3951 | 0.9115 |
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- | 0.0163 | 19.0 | 152 | 0.2882 | 0.9403 |
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- | 0.0025 | 20.0 | 160 | 0.2788 | 0.9321 |
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- | 0.0025 | 21.0 | 168 | 0.3919 | 0.9136 |
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- | 0.0163 | 22.0 | 176 | 0.4097 | 0.9342 |
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- | 0.0118 | 23.0 | 184 | 0.3226 | 0.9362 |
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- | 0.0028 | 24.0 | 192 | 0.4010 | 0.9198 |
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- | 0.0112 | 25.0 | 200 | 0.3082 | 0.9527 |
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- | 0.0112 | 26.0 | 208 | 0.3728 | 0.9300 |
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- | 0.0211 | 27.0 | 216 | 0.3696 | 0.9362 |
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- | 0.0018 | 28.0 | 224 | 0.3142 | 0.9259 |
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- | 0.0012 | 29.0 | 232 | 0.3075 | 0.9300 |
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- | 0.0061 | 30.0 | 240 | 0.3983 | 0.9300 |
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- | 0.0061 | 31.0 | 248 | 0.3352 | 0.9362 |
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- | 0.0165 | 32.0 | 256 | 0.3700 | 0.9342 |
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- | 0.0025 | 33.0 | 264 | 0.3901 | 0.9177 |
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- | 0.0207 | 34.0 | 272 | 0.3874 | 0.9342 |
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- | 0.0094 | 35.0 | 280 | 0.3643 | 0.9280 |
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- | 0.0094 | 36.0 | 288 | 0.2842 | 0.9321 |
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- | 0.0182 | 37.0 | 296 | 0.3285 | 0.9342 |
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- | 0.0031 | 38.0 | 304 | 0.3639 | 0.9300 |
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- | 0.0246 | 39.0 | 312 | 0.3357 | 0.9342 |
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- | 0.0203 | 40.0 | 320 | 0.3219 | 0.9259 |
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- | 0.0203 | 41.0 | 328 | 0.3186 | 0.9342 |
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- | 0.0154 | 42.0 | 336 | 0.3418 | 0.9300 |
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- | 0.0161 | 43.0 | 344 | 0.3163 | 0.9424 |
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- | 0.0097 | 44.0 | 352 | 0.3202 | 0.9383 |
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- | 0.0126 | 45.0 | 360 | 0.3835 | 0.9321 |
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- | 0.0126 | 46.0 | 368 | 0.3396 | 0.9403 |
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- | 0.0043 | 47.0 | 376 | 0.3481 | 0.9383 |
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- | 0.0369 | 48.0 | 384 | 0.3826 | 0.9321 |
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- | 0.0057 | 49.0 | 392 | 0.3538 | 0.9342 |
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- | 0.0355 | 50.0 | 400 | 0.3349 | 0.9300 |
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  ### Framework versions
 
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  name: imagefolder
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  type: imagefolder
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  config: default
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+ split: train
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  args: default
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.689587414264679
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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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  This model is a fine-tuned version of [Lalith47/custom-cloud-model](https://huggingface.co/Lalith47/custom-cloud-model) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1373
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+ - Accuracy: 0.6896
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.273 | 1.0 | 32 | 2.1875 | 0.1631 |
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+ | 1.8349 | 2.0 | 64 | 1.7155 | 0.4479 |
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+ | 1.4566 | 3.0 | 96 | 1.3455 | 0.5717 |
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+ | 1.1832 | 4.0 | 128 | 1.1565 | 0.5855 |
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+ | 1.0294 | 5.0 | 160 | 1.0912 | 0.6365 |
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+ | 0.9185 | 6.0 | 192 | 1.0261 | 0.6523 |
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+ | 0.7852 | 7.0 | 224 | 0.9980 | 0.6405 |
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+ | 0.7867 | 8.0 | 256 | 0.9890 | 0.6306 |
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+ | 0.6186 | 9.0 | 288 | 0.9861 | 0.6582 |
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+ | 0.6408 | 10.0 | 320 | 0.9740 | 0.6523 |
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+ | 0.5585 | 11.0 | 352 | 0.9828 | 0.6621 |
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+ | 0.5316 | 12.0 | 384 | 0.9386 | 0.6739 |
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+ | 0.4884 | 13.0 | 416 | 0.9325 | 0.6346 |
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+ | 0.466 | 14.0 | 448 | 0.9182 | 0.6739 |
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+ | 0.4018 | 15.0 | 480 | 0.9588 | 0.6660 |
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+ | 0.3776 | 16.0 | 512 | 0.9305 | 0.6778 |
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+ | 0.3858 | 17.0 | 544 | 0.9876 | 0.6582 |
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+ | 0.3312 | 18.0 | 576 | 1.0370 | 0.6287 |
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+ | 0.3323 | 19.0 | 608 | 0.9705 | 0.6817 |
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+ | 0.2896 | 20.0 | 640 | 0.9784 | 0.6876 |
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+ | 0.2703 | 21.0 | 672 | 0.9497 | 0.6916 |
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+ | 0.2521 | 22.0 | 704 | 1.0588 | 0.6601 |
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+ | 0.2079 | 23.0 | 736 | 1.0287 | 0.6582 |
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+ | 0.2371 | 24.0 | 768 | 0.9888 | 0.6739 |
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+ | 0.2604 | 25.0 | 800 | 1.0015 | 0.6621 |
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+ | 0.1952 | 26.0 | 832 | 1.0272 | 0.6837 |
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+ | 0.2373 | 27.0 | 864 | 1.0004 | 0.6778 |
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+ | 0.2195 | 28.0 | 896 | 1.0871 | 0.6601 |
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+ | 0.198 | 29.0 | 928 | 1.0482 | 0.6817 |
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+ | 0.1681 | 30.0 | 960 | 1.0531 | 0.6798 |
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+ | 0.219 | 31.0 | 992 | 1.0627 | 0.6699 |
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+ | 0.1801 | 32.0 | 1024 | 1.0884 | 0.6582 |
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+ | 0.2065 | 33.0 | 1056 | 1.1099 | 0.6660 |
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+ | 0.1526 | 34.0 | 1088 | 1.0921 | 0.6582 |
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+ | 0.1632 | 35.0 | 1120 | 1.0851 | 0.6817 |
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+ | 0.1548 | 36.0 | 1152 | 1.1042 | 0.6758 |
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+ | 0.1712 | 37.0 | 1184 | 1.1042 | 0.6719 |
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+ | 0.1393 | 38.0 | 1216 | 1.1022 | 0.6660 |
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+ | 0.1487 | 39.0 | 1248 | 1.1125 | 0.6817 |
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+ | 0.1425 | 40.0 | 1280 | 1.0962 | 0.6876 |
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+ | 0.1521 | 41.0 | 1312 | 1.0355 | 0.6857 |
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+ | 0.115 | 42.0 | 1344 | 1.1091 | 0.6562 |
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+ | 0.1353 | 43.0 | 1376 | 1.1370 | 0.6817 |
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+ | 0.1542 | 44.0 | 1408 | 1.1130 | 0.6798 |
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+ | 0.1399 | 45.0 | 1440 | 1.1029 | 0.6876 |
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+ | 0.0943 | 46.0 | 1472 | 1.1108 | 0.6876 |
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+ | 0.1367 | 47.0 | 1504 | 1.0329 | 0.6974 |
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+ | 0.1559 | 48.0 | 1536 | 1.0935 | 0.6719 |
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+ | 0.148 | 49.0 | 1568 | 1.0697 | 0.6896 |
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+ | 0.1013 | 50.0 | 1600 | 1.1373 | 0.6896 |
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  ### Framework versions
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