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  1. README.md +71 -71
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0139
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- - Wer Score: 0.5837
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  ## Model description
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@@ -50,75 +50,75 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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- | 6.955 | 0.72 | 50 | 4.0586 | 1.6636 |
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- | 1.911 | 1.44 | 100 | 0.2120 | 3.1636 |
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- | 0.0574 | 2.16 | 150 | 0.0130 | 4.5642 |
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- | 0.0118 | 2.88 | 200 | 0.0126 | 2.8213 |
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- | 0.0099 | 3.6 | 250 | 0.0095 | 2.2693 |
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- | 0.0082 | 4.32 | 300 | 0.0089 | 5.0186 |
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- | 0.0077 | 5.04 | 350 | 0.0088 | 5.3560 |
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- | 0.0068 | 5.76 | 400 | 0.0091 | 2.8026 |
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- | 0.0064 | 6.47 | 450 | 0.0082 | 3.4589 |
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- | 0.0063 | 7.19 | 500 | 0.0086 | 4.6660 |
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- | 0.006 | 7.91 | 550 | 0.0082 | 4.8546 |
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- | 0.0056 | 8.63 | 600 | 0.0085 | 3.1033 |
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- | 0.0062 | 9.35 | 650 | 0.0087 | 4.0475 |
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- | 0.0057 | 10.07 | 700 | 0.0086 | 5.4452 |
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- | 0.0054 | 10.79 | 750 | 0.0084 | 4.8614 |
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- | 0.0056 | 11.51 | 800 | 0.0084 | 5.4922 |
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- | 0.005 | 12.23 | 850 | 0.0084 | 5.4324 |
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- | 0.0054 | 12.95 | 900 | 0.0083 | 5.6768 |
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- | 0.0051 | 13.67 | 950 | 0.0086 | 5.1234 |
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- | 0.0052 | 14.39 | 1000 | 0.0091 | 6.0069 |
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- | 0.0053 | 15.11 | 1050 | 0.0085 | 5.0867 |
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- | 0.0049 | 15.83 | 1100 | 0.0092 | 5.4711 |
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- | 0.0051 | 16.55 | 1150 | 0.0087 | 5.7106 |
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- | 0.0048 | 17.27 | 1200 | 0.0086 | 4.0867 |
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- | 0.0047 | 17.99 | 1250 | 0.0087 | 5.0113 |
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- | 0.0048 | 18.71 | 1300 | 0.0088 | 5.9662 |
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- | 0.0046 | 19.42 | 1350 | 0.0091 | 4.5553 |
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- | 0.005 | 20.14 | 1400 | 0.0088 | 6.0235 |
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- | 0.0054 | 20.86 | 1450 | 0.0085 | 6.0230 |
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- | 0.005 | 21.58 | 1500 | 0.0088 | 6.0230 |
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- | 0.0052 | 22.3 | 1550 | 0.0084 | 6.0186 |
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- | 0.0049 | 23.02 | 1600 | 0.0093 | 3.9496 |
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- | 0.005 | 23.74 | 1650 | 0.0089 | 3.9275 |
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- | 0.0046 | 24.46 | 1700 | 0.0085 | 4.7311 |
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- | 0.0049 | 25.18 | 1750 | 0.0089 | 5.2463 |
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- | 0.0045 | 25.9 | 1800 | 0.0088 | 3.8296 |
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- | 0.0044 | 26.62 | 1850 | 0.0088 | 4.5010 |
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- | 0.0043 | 27.34 | 1900 | 0.0090 | 2.7282 |
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- | 0.0045 | 28.06 | 1950 | 0.0089 | 3.4383 |
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- | 0.0038 | 28.78 | 2000 | 0.0094 | 1.3452 |
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- | 0.0042 | 29.5 | 2050 | 0.0089 | 3.1126 |
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- | 0.0039 | 30.22 | 2100 | 0.0092 | 2.4177 |
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- | 0.0042 | 30.94 | 2150 | 0.0092 | 2.7204 |
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- | 0.0037 | 31.65 | 2200 | 0.0092 | 2.6229 |
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- | 0.0039 | 32.37 | 2250 | 0.0095 | 2.3673 |
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- | 0.0038 | 33.09 | 2300 | 0.0102 | 1.4265 |
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- | 0.0034 | 33.81 | 2350 | 0.0098 | 2.4819 |
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- | 0.0032 | 34.53 | 2400 | 0.0110 | 1.9114 |
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- | 0.0034 | 35.25 | 2450 | 0.0111 | 1.4285 |
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- | 0.0031 | 35.97 | 2500 | 0.0108 | 2.0573 |
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- | 0.0027 | 36.69 | 2550 | 0.0109 | 1.6538 |
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- | 0.0028 | 37.41 | 2600 | 0.0114 | 1.9789 |
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- | 0.0029 | 38.13 | 2650 | 0.0108 | 2.1675 |
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- | 0.0026 | 38.85 | 2700 | 0.0112 | 2.3497 |
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- | 0.0026 | 39.57 | 2750 | 0.0124 | 2.1665 |
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- | 0.0026 | 40.29 | 2800 | 0.0119 | 1.4652 |
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- | 0.0024 | 41.01 | 2850 | 0.0119 | 2.0720 |
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- | 0.0022 | 41.73 | 2900 | 0.0122 | 1.2238 |
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- | 0.0022 | 42.45 | 2950 | 0.0128 | 1.5343 |
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- | 0.0021 | 43.17 | 3000 | 0.0121 | 1.3310 |
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- | 0.0019 | 43.88 | 3050 | 0.0131 | 1.3859 |
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- | 0.0018 | 44.6 | 3100 | 0.0131 | 0.8487 |
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- | 0.0017 | 45.32 | 3150 | 0.0133 | 0.9540 |
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- | 0.0016 | 46.04 | 3200 | 0.0131 | 1.0446 |
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- | 0.0014 | 46.76 | 3250 | 0.0135 | 0.6459 |
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- | 0.0014 | 47.48 | 3300 | 0.0137 | 0.6562 |
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- | 0.0013 | 48.2 | 3350 | 0.0135 | 0.5901 |
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- | 0.0012 | 48.92 | 3400 | 0.0139 | 0.5857 |
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- | 0.0012 | 49.64 | 3450 | 0.0139 | 0.5837 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0971
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+ - Wer Score: 4.3530
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 7.0263 | 0.72 | 50 | 4.1468 | 2.9871 |
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+ | 1.9906 | 1.45 | 100 | 0.2971 | 0.4260 |
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+ | 0.1401 | 2.17 | 150 | 0.0827 | 2.2259 |
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+ | 0.0772 | 2.9 | 200 | 0.0704 | 3.9564 |
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+ | 0.0567 | 3.62 | 250 | 0.0677 | 3.6360 |
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+ | 0.0501 | 4.35 | 300 | 0.0678 | 3.2940 |
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+ | 0.0443 | 5.07 | 350 | 0.0664 | 3.3094 |
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+ | 0.0386 | 5.8 | 400 | 0.0666 | 3.0884 |
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+ | 0.035 | 6.52 | 450 | 0.0681 | 3.3818 |
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+ | 0.0329 | 7.25 | 500 | 0.0667 | 3.2474 |
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+ | 0.0297 | 7.97 | 550 | 0.0681 | 3.6648 |
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+ | 0.0271 | 8.7 | 600 | 0.0700 | 3.9405 |
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+ | 0.0257 | 9.42 | 650 | 0.0697 | 3.0393 |
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+ | 0.0243 | 10.14 | 700 | 0.0701 | 3.5973 |
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+ | 0.0233 | 10.87 | 750 | 0.0695 | 3.0565 |
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+ | 0.0213 | 11.59 | 800 | 0.0721 | 3.6980 |
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+ | 0.0203 | 12.32 | 850 | 0.0730 | 3.8883 |
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+ | 0.0206 | 13.04 | 900 | 0.0718 | 4.9104 |
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+ | 0.0187 | 13.77 | 950 | 0.0729 | 4.4850 |
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+ | 0.0192 | 14.49 | 1000 | 0.0743 | 4.6366 |
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+ | 0.0184 | 15.22 | 1050 | 0.0729 | 4.9141 |
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+ | 0.0169 | 15.94 | 1100 | 0.0754 | 4.6446 |
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+ | 0.0167 | 16.67 | 1150 | 0.0769 | 4.8232 |
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+ | 0.0162 | 17.39 | 1200 | 0.0766 | 4.7569 |
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+ | 0.0165 | 18.12 | 1250 | 0.0768 | 4.3266 |
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+ | 0.0157 | 18.84 | 1300 | 0.0776 | 4.1375 |
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+ | 0.0144 | 19.57 | 1350 | 0.0778 | 3.9724 |
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+ | 0.015 | 20.29 | 1400 | 0.0790 | 4.7041 |
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+ | 0.0146 | 21.01 | 1450 | 0.0780 | 4.5003 |
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+ | 0.0137 | 21.74 | 1500 | 0.0794 | 4.2167 |
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+ | 0.0141 | 22.46 | 1550 | 0.0792 | 4.4856 |
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+ | 0.0137 | 23.19 | 1600 | 0.0805 | 4.2634 |
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+ | 0.0137 | 23.91 | 1650 | 0.0817 | 4.4162 |
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+ | 0.0127 | 24.64 | 1700 | 0.0804 | 4.0319 |
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+ | 0.0127 | 25.36 | 1750 | 0.0829 | 4.3628 |
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+ | 0.013 | 26.09 | 1800 | 0.0826 | 4.4211 |
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+ | 0.0121 | 26.81 | 1850 | 0.0823 | 4.8932 |
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+ | 0.0119 | 27.54 | 1900 | 0.0835 | 4.6636 |
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+ | 0.012 | 28.26 | 1950 | 0.0842 | 3.8926 |
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+ | 0.0118 | 28.99 | 2000 | 0.0844 | 3.9994 |
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+ | 0.011 | 29.71 | 2050 | 0.0833 | 4.1743 |
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+ | 0.0109 | 30.43 | 2100 | 0.0864 | 4.4217 |
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+ | 0.0108 | 31.16 | 2150 | 0.0851 | 4.8029 |
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+ | 0.0103 | 31.88 | 2200 | 0.0855 | 4.0694 |
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+ | 0.01 | 32.61 | 2250 | 0.0871 | 4.3198 |
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+ | 0.0102 | 33.33 | 2300 | 0.0863 | 4.4082 |
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+ | 0.0099 | 34.06 | 2350 | 0.0871 | 4.2112 |
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+ | 0.0094 | 34.78 | 2400 | 0.0872 | 4.1774 |
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+ | 0.0092 | 35.51 | 2450 | 0.0887 | 3.9742 |
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+ | 0.009 | 36.23 | 2500 | 0.0882 | 4.1958 |
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+ | 0.0088 | 36.96 | 2550 | 0.0893 | 4.2591 |
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+ | 0.0084 | 37.68 | 2600 | 0.0885 | 4.2983 |
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+ | 0.0079 | 38.41 | 2650 | 0.0894 | 4.6550 |
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+ | 0.008 | 39.13 | 2700 | 0.0904 | 4.1277 |
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+ | 0.0076 | 39.86 | 2750 | 0.0908 | 3.6771 |
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+ | 0.0072 | 40.58 | 2800 | 0.0912 | 4.1252 |
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+ | 0.0072 | 41.3 | 2850 | 0.0908 | 4.5660 |
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+ | 0.0069 | 42.03 | 2900 | 0.0917 | 3.9441 |
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+ | 0.0062 | 42.75 | 2950 | 0.0924 | 4.2259 |
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+ | 0.006 | 43.48 | 3000 | 0.0924 | 4.2167 |
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+ | 0.0059 | 44.2 | 3050 | 0.0937 | 4.6047 |
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+ | 0.0055 | 44.93 | 3100 | 0.0945 | 4.4408 |
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+ | 0.0048 | 45.65 | 3150 | 0.0950 | 3.9871 |
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+ | 0.0048 | 46.38 | 3200 | 0.0952 | 4.2259 |
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+ | 0.0046 | 47.1 | 3250 | 0.0962 | 4.2204 |
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+ | 0.0042 | 47.83 | 3300 | 0.0963 | 4.2750 |
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+ | 0.0037 | 48.55 | 3350 | 0.0971 | 4.1891 |
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+ | 0.0039 | 49.28 | 3400 | 0.0970 | 4.3100 |
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+ | 0.0036 | 50.0 | 3450 | 0.0971 | 4.3530 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:bfd0baa97c3e5f1deb757cd91eb1fba61acba721f578d32f45103500986f24e8
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  size 706516040
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:c440b2398e6a34cc6cec97ee5268aa7fc330b654d5ebc0a18da9872b30974239
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  size 706516040