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receipt-construction-model

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Fine-tuned Construction Receipt Model

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  1. README.md +60 -63
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DanSarm/receipt-core-model](https://huggingface.co/DanSarm/receipt-core-model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2616
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  ## Model description
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@@ -47,68 +47,65 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.3079 | 1.0 | 44 | 0.4549 |
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- | 0.4772 | 2.0 | 88 | 0.3239 |
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- | 0.3391 | 3.0 | 132 | 0.2757 |
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- | 0.2673 | 4.0 | 176 | 0.2483 |
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- | 0.2231 | 5.0 | 220 | 0.2324 |
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- | 0.1909 | 6.0 | 264 | 0.2200 |
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- | 0.1688 | 7.0 | 308 | 0.2094 |
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- | 0.1511 | 8.0 | 352 | 0.2051 |
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- | 0.1343 | 9.0 | 396 | 0.2102 |
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- | 0.1248 | 10.0 | 440 | 0.1969 |
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- | 0.1129 | 11.0 | 484 | 0.2020 |
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- | 0.1042 | 12.0 | 528 | 0.1937 |
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- | 0.0953 | 13.0 | 572 | 0.2084 |
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- | 0.0871 | 14.0 | 616 | 0.2120 |
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- | 0.0879 | 15.0 | 660 | 0.2149 |
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- | 0.0789 | 16.0 | 704 | 0.2104 |
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- | 0.0771 | 17.0 | 748 | 0.2206 |
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- | 0.067 | 18.0 | 792 | 0.2162 |
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- | 0.0644 | 19.0 | 836 | 0.2176 |
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- | 0.0572 | 20.0 | 880 | 0.2225 |
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- | 0.0538 | 21.0 | 924 | 0.2258 |
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- | 0.0552 | 22.0 | 968 | 0.2223 |
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- | 0.0516 | 23.0 | 1012 | 0.2228 |
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- | 0.0444 | 24.0 | 1056 | 0.2273 |
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- | 0.0398 | 25.0 | 1100 | 0.2279 |
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- | 0.0388 | 26.0 | 1144 | 0.2264 |
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- | 0.0377 | 27.0 | 1188 | 0.2261 |
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- | 0.0344 | 28.0 | 1232 | 0.2305 |
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- | 0.0323 | 29.0 | 1276 | 0.2415 |
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- | 0.0296 | 30.0 | 1320 | 0.2364 |
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- | 0.0297 | 31.0 | 1364 | 0.2434 |
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- | 0.0268 | 32.0 | 1408 | 0.2391 |
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- | 0.0232 | 33.0 | 1452 | 0.2384 |
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- | 0.0226 | 34.0 | 1496 | 0.2370 |
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- | 0.022 | 35.0 | 1540 | 0.2401 |
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- | 0.0218 | 36.0 | 1584 | 0.2355 |
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- | 0.0222 | 37.0 | 1628 | 0.2384 |
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- | 0.0185 | 38.0 | 1672 | 0.2289 |
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- | 0.0169 | 39.0 | 1716 | 0.2419 |
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- | 0.0172 | 40.0 | 1760 | 0.2434 |
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- | 0.0149 | 41.0 | 1804 | 0.2515 |
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- | 0.0143 | 42.0 | 1848 | 0.2405 |
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- | 0.0133 | 43.0 | 1892 | 0.2493 |
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- | 0.0151 | 44.0 | 1936 | 0.2440 |
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- | 0.0117 | 45.0 | 1980 | 0.2458 |
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- | 0.011 | 46.0 | 2024 | 0.2501 |
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- | 0.01 | 47.0 | 2068 | 0.2546 |
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- | 0.0102 | 48.0 | 2112 | 0.2501 |
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- | 0.0099 | 49.0 | 2156 | 0.2542 |
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- | 0.01 | 50.0 | 2200 | 0.2647 |
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- | 0.0098 | 51.0 | 2244 | 0.2525 |
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- | 0.0105 | 52.0 | 2288 | 0.2569 |
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- | 0.0076 | 53.0 | 2332 | 0.2586 |
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- | 0.0087 | 54.0 | 2376 | 0.2648 |
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- | 0.0109 | 55.0 | 2420 | 0.2599 |
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- | 0.0087 | 56.0 | 2464 | 0.2537 |
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- | 0.0103 | 57.0 | 2508 | 0.2536 |
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- | 0.0075 | 58.0 | 2552 | 0.2607 |
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- | 0.0078 | 59.0 | 2596 | 0.2620 |
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- | 0.0055 | 60.0 | 2640 | 0.2629 |
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- | 0.0071 | 61.0 | 2684 | 0.2608 |
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- | 0.007 | 62.0 | 2728 | 0.2616 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [DanSarm/receipt-core-model](https://huggingface.co/DanSarm/receipt-core-model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2963
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1652 | 1.0 | 56 | 0.4196 |
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+ | 0.4227 | 2.0 | 112 | 0.2893 |
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+ | 0.3059 | 3.0 | 168 | 0.2561 |
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+ | 0.2414 | 4.0 | 224 | 0.2288 |
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+ | 0.2046 | 5.0 | 280 | 0.2278 |
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+ | 0.1767 | 6.0 | 336 | 0.2160 |
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+ | 0.1565 | 7.0 | 392 | 0.2124 |
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+ | 0.1384 | 8.0 | 448 | 0.2092 |
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+ | 0.1288 | 9.0 | 504 | 0.2077 |
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+ | 0.116 | 10.0 | 560 | 0.2103 |
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+ | 0.1069 | 11.0 | 616 | 0.2136 |
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+ | 0.0966 | 12.0 | 672 | 0.2215 |
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+ | 0.086 | 13.0 | 728 | 0.2201 |
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+ | 0.0822 | 14.0 | 784 | 0.2263 |
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+ | 0.0764 | 15.0 | 840 | 0.2314 |
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+ | 0.0697 | 16.0 | 896 | 0.2298 |
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+ | 0.0677 | 17.0 | 952 | 0.2316 |
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+ | 0.0623 | 18.0 | 1008 | 0.2306 |
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+ | 0.0588 | 19.0 | 1064 | 0.2467 |
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+ | 0.0555 | 20.0 | 1120 | 0.2432 |
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+ | 0.0518 | 21.0 | 1176 | 0.2484 |
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+ | 0.0488 | 22.0 | 1232 | 0.2570 |
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+ | 0.0453 | 23.0 | 1288 | 0.2377 |
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+ | 0.0452 | 24.0 | 1344 | 0.2531 |
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+ | 0.0399 | 25.0 | 1400 | 0.2538 |
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+ | 0.0347 | 26.0 | 1456 | 0.2529 |
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+ | 0.032 | 27.0 | 1512 | 0.2583 |
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+ | 0.0312 | 28.0 | 1568 | 0.2525 |
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+ | 0.0282 | 29.0 | 1624 | 0.2631 |
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+ | 0.0274 | 30.0 | 1680 | 0.2609 |
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+ | 0.0266 | 31.0 | 1736 | 0.2574 |
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+ | 0.0265 | 32.0 | 1792 | 0.2630 |
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+ | 0.0221 | 33.0 | 1848 | 0.2611 |
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+ | 0.0218 | 34.0 | 1904 | 0.2673 |
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+ | 0.0194 | 35.0 | 1960 | 0.2693 |
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+ | 0.0164 | 36.0 | 2016 | 0.2663 |
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+ | 0.0183 | 37.0 | 2072 | 0.2655 |
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+ | 0.0149 | 38.0 | 2128 | 0.2685 |
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+ | 0.0156 | 39.0 | 2184 | 0.2604 |
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+ | 0.0157 | 40.0 | 2240 | 0.2684 |
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+ | 0.0149 | 41.0 | 2296 | 0.2697 |
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+ | 0.0137 | 42.0 | 2352 | 0.2779 |
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+ | 0.0116 | 43.0 | 2408 | 0.2738 |
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+ | 0.0116 | 44.0 | 2464 | 0.2760 |
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+ | 0.011 | 45.0 | 2520 | 0.2824 |
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+ | 0.0109 | 46.0 | 2576 | 0.2894 |
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+ | 0.0094 | 47.0 | 2632 | 0.2818 |
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+ | 0.0098 | 48.0 | 2688 | 0.2885 |
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+ | 0.0089 | 49.0 | 2744 | 0.2850 |
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+ | 0.01 | 50.0 | 2800 | 0.2857 |
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+ | 0.0096 | 51.0 | 2856 | 0.2855 |
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+ | 0.0084 | 52.0 | 2912 | 0.2904 |
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+ | 0.0088 | 53.0 | 2968 | 0.2871 |
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+ | 0.0092 | 54.0 | 3024 | 0.2878 |
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+ | 0.008 | 55.0 | 3080 | 0.2876 |
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+ | 0.0072 | 56.0 | 3136 | 0.2904 |
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+ | 0.0073 | 57.0 | 3192 | 0.2808 |
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+ | 0.0065 | 58.0 | 3248 | 0.2978 |
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+ | 0.0059 | 59.0 | 3304 | 0.2963 |
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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