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JEdward7777
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finetuned-xlm-r-masakhaner-swa-whole-word-phonetic

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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 33.8474
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  ## Model description
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@@ -33,7 +33,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-08
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -45,56 +45,56 @@ 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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- | No log | 1.0 | 62 | 40.1819 |
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- | No log | 2.0 | 124 | 39.8739 |
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- | No log | 3.0 | 186 | 39.8049 |
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- | No log | 4.0 | 248 | 39.6081 |
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- | No log | 5.0 | 310 | 39.5799 |
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- | No log | 6.0 | 372 | 39.0190 |
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- | No log | 7.0 | 434 | 39.3419 |
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- | No log | 8.0 | 496 | 39.1207 |
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- | 43.6477 | 9.0 | 558 | 39.3300 |
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- | 43.6477 | 10.0 | 620 | 38.9782 |
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- | 43.6477 | 11.0 | 682 | 38.7922 |
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- | 43.6477 | 12.0 | 744 | 39.0008 |
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- | 43.6477 | 13.0 | 806 | 37.9541 |
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- | 43.6477 | 14.0 | 868 | 38.5811 |
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- | 43.6477 | 15.0 | 930 | 38.0282 |
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- | 43.6477 | 16.0 | 992 | 37.8876 |
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- | 40.6651 | 17.0 | 1054 | 37.2310 |
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- | 40.6651 | 18.0 | 1116 | 38.0638 |
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- | 40.6651 | 19.0 | 1178 | 36.8963 |
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- | 40.6651 | 20.0 | 1240 | 36.9864 |
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- | 40.6651 | 21.0 | 1302 | 37.3454 |
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- | 40.6651 | 22.0 | 1364 | 36.4938 |
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- | 40.6651 | 23.0 | 1426 | 36.6832 |
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- | 40.6651 | 24.0 | 1488 | 36.6483 |
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- | 38.4269 | 25.0 | 1550 | 37.0298 |
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- | 38.4269 | 26.0 | 1612 | 36.2800 |
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- | 38.4269 | 27.0 | 1674 | 36.2012 |
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- | 38.4269 | 28.0 | 1736 | 36.3202 |
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- | 38.4269 | 29.0 | 1798 | 35.9716 |
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- | 38.4269 | 30.0 | 1860 | 35.5587 |
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- | 38.4269 | 31.0 | 1922 | 35.4158 |
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- | 38.4269 | 32.0 | 1984 | 35.4341 |
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- | 36.859 | 33.0 | 2046 | 35.9928 |
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- | 36.859 | 34.0 | 2108 | 35.4128 |
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- | 36.859 | 35.0 | 2170 | 34.8793 |
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- | 36.859 | 36.0 | 2232 | 35.1022 |
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- | 36.859 | 37.0 | 2294 | 35.0106 |
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- | 36.859 | 38.0 | 2356 | 35.1063 |
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- | 36.859 | 39.0 | 2418 | 34.9789 |
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- | 36.859 | 40.0 | 2480 | 34.7956 |
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- | 35.667 | 41.0 | 2542 | 34.6796 |
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- | 35.667 | 42.0 | 2604 | 34.4613 |
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- | 35.667 | 43.0 | 2666 | 35.1679 |
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- | 35.667 | 44.0 | 2728 | 34.7982 |
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- | 35.667 | 45.0 | 2790 | 35.3350 |
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- | 35.667 | 46.0 | 2852 | 34.3840 |
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- | 35.667 | 47.0 | 2914 | 34.5909 |
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- | 35.667 | 48.0 | 2976 | 34.5888 |
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- | 35.2144 | 49.0 | 3038 | 34.8359 |
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- | 35.2144 | 50.0 | 3100 | 33.8474 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 15.5961
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 7e-08
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 62 | 39.6873 |
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+ | No log | 2.0 | 124 | 39.5168 |
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+ | No log | 3.0 | 186 | 38.9323 |
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+ | No log | 4.0 | 248 | 37.7971 |
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+ | No log | 5.0 | 310 | 36.8967 |
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+ | No log | 6.0 | 372 | 35.3844 |
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+ | No log | 7.0 | 434 | 34.6435 |
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+ | No log | 8.0 | 496 | 33.6444 |
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+ | 39.4735 | 9.0 | 558 | 32.8915 |
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+ | 39.4735 | 10.0 | 620 | 31.1389 |
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+ | 39.4735 | 11.0 | 682 | 30.0209 |
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+ | 39.4735 | 12.0 | 744 | 28.7981 |
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+ | 39.4735 | 13.0 | 806 | 27.6728 |
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+ | 39.4735 | 14.0 | 868 | 26.6111 |
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+ | 39.4735 | 15.0 | 930 | 25.5562 |
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+ | 39.4735 | 16.0 | 992 | 24.4283 |
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+ | 29.1909 | 17.0 | 1054 | 23.2272 |
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+ | 29.1909 | 18.0 | 1116 | 22.8566 |
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+ | 29.1909 | 19.0 | 1178 | 22.1741 |
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+ | 29.1909 | 20.0 | 1240 | 21.4192 |
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+ | 29.1909 | 21.0 | 1302 | 20.4911 |
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+ | 29.1909 | 22.0 | 1364 | 20.2457 |
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+ | 29.1909 | 23.0 | 1426 | 19.5857 |
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+ | 29.1909 | 24.0 | 1488 | 19.2878 |
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+ | 21.7917 | 25.0 | 1550 | 18.8065 |
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+ | 21.7917 | 26.0 | 1612 | 18.3365 |
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+ | 21.7917 | 27.0 | 1674 | 18.1690 |
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+ | 21.7917 | 28.0 | 1736 | 17.5599 |
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+ | 21.7917 | 29.0 | 1798 | 17.4295 |
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+ | 21.7917 | 30.0 | 1860 | 17.1918 |
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+ | 21.7917 | 31.0 | 1922 | 16.9913 |
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+ | 21.7917 | 32.0 | 1984 | 16.7378 |
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+ | 18.0017 | 33.0 | 2046 | 16.5858 |
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+ | 18.0017 | 34.0 | 2108 | 16.4158 |
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+ | 18.0017 | 35.0 | 2170 | 16.2602 |
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+ | 18.0017 | 36.0 | 2232 | 16.0334 |
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+ | 18.0017 | 37.0 | 2294 | 16.0809 |
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+ | 18.0017 | 38.0 | 2356 | 15.7176 |
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+ | 18.0017 | 39.0 | 2418 | 15.8248 |
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+ | 18.0017 | 40.0 | 2480 | 15.8528 |
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+ | 16.124 | 41.0 | 2542 | 15.7772 |
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+ | 16.124 | 42.0 | 2604 | 15.7973 |
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+ | 16.124 | 43.0 | 2666 | 15.4572 |
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+ | 16.124 | 44.0 | 2728 | 15.6225 |
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+ | 16.124 | 45.0 | 2790 | 15.4301 |
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+ | 16.124 | 46.0 | 2852 | 15.7354 |
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+ | 16.124 | 47.0 | 2914 | 15.5296 |
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+ | 16.124 | 48.0 | 2976 | 15.4213 |
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+ | 15.3787 | 49.0 | 3038 | 15.5128 |
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+ | 15.3787 | 50.0 | 3100 | 15.5961 |
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  ### Framework versions