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geobase
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geo-task-classifier-transformer

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
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End of training

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  1. README.md +51 -51
  2. config.json +4 -2
  3. model.safetensors +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nreimers/BERT-Tiny_L-2_H-128_A-2](https://huggingface.co/nreimers/BERT-Tiny_L-2_H-128_A-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8101
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  ## Model description
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@@ -46,56 +46,56 @@ 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 | 2 | 1.0244 |
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- | No log | 2.0 | 4 | 1.0190 |
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- | No log | 3.0 | 6 | 1.0148 |
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- | No log | 4.0 | 8 | 1.0122 |
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- | No log | 5.0 | 10 | 1.0101 |
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- | No log | 6.0 | 12 | 1.0061 |
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- | No log | 7.0 | 14 | 1.0020 |
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- | No log | 8.0 | 16 | 0.9957 |
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- | No log | 9.0 | 18 | 0.9890 |
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- | No log | 10.0 | 20 | 0.9804 |
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- | No log | 11.0 | 22 | 0.9692 |
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- | No log | 12.0 | 24 | 0.9561 |
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- | No log | 13.0 | 26 | 0.9443 |
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- | No log | 14.0 | 28 | 0.9345 |
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- | No log | 15.0 | 30 | 0.9262 |
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- | No log | 16.0 | 32 | 0.9178 |
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- | No log | 17.0 | 34 | 0.9089 |
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- | No log | 18.0 | 36 | 0.9011 |
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- | No log | 19.0 | 38 | 0.8937 |
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- | No log | 20.0 | 40 | 0.8868 |
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- | No log | 21.0 | 42 | 0.8807 |
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- | No log | 22.0 | 44 | 0.8757 |
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- | No log | 23.0 | 46 | 0.8714 |
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- | No log | 24.0 | 48 | 0.8671 |
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- | No log | 25.0 | 50 | 0.8626 |
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- | No log | 26.0 | 52 | 0.8581 |
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- | No log | 27.0 | 54 | 0.8537 |
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- | No log | 28.0 | 56 | 0.8499 |
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- | No log | 29.0 | 58 | 0.8457 |
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- | No log | 30.0 | 60 | 0.8423 |
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- | No log | 31.0 | 62 | 0.8395 |
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- | No log | 32.0 | 64 | 0.8364 |
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- | No log | 33.0 | 66 | 0.8334 |
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- | No log | 34.0 | 68 | 0.8307 |
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- | No log | 35.0 | 70 | 0.8281 |
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- | No log | 36.0 | 72 | 0.8259 |
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- | No log | 37.0 | 74 | 0.8238 |
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- | No log | 38.0 | 76 | 0.8223 |
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- | No log | 39.0 | 78 | 0.8206 |
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- | No log | 40.0 | 80 | 0.8192 |
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- | No log | 41.0 | 82 | 0.8181 |
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- | No log | 42.0 | 84 | 0.8170 |
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- | No log | 43.0 | 86 | 0.8159 |
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- | No log | 44.0 | 88 | 0.8146 |
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- | No log | 45.0 | 90 | 0.8134 |
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- | No log | 46.0 | 92 | 0.8122 |
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- | No log | 47.0 | 94 | 0.8115 |
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- | No log | 48.0 | 96 | 0.8108 |
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- | No log | 49.0 | 98 | 0.8102 |
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- | No log | 50.0 | 100 | 0.8101 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nreimers/BERT-Tiny_L-2_H-128_A-2](https://huggingface.co/nreimers/BERT-Tiny_L-2_H-128_A-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5820
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 11 | 1.3285 |
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+ | No log | 2.0 | 22 | 1.3144 |
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+ | No log | 3.0 | 33 | 1.2977 |
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+ | No log | 4.0 | 44 | 1.2683 |
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+ | No log | 5.0 | 55 | 1.2476 |
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+ | No log | 6.0 | 66 | 1.2256 |
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+ | No log | 7.0 | 77 | 1.1961 |
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+ | No log | 8.0 | 88 | 1.1853 |
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+ | No log | 9.0 | 99 | 1.1625 |
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+ | No log | 10.0 | 110 | 1.1284 |
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+ | No log | 11.0 | 121 | 1.1036 |
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+ | No log | 12.0 | 132 | 1.0812 |
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+ | No log | 13.0 | 143 | 1.0573 |
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+ | No log | 14.0 | 154 | 1.0323 |
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+ | No log | 15.0 | 165 | 1.0092 |
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+ | No log | 16.0 | 176 | 0.9913 |
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+ | No log | 17.0 | 187 | 0.9725 |
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+ | No log | 18.0 | 198 | 0.9492 |
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+ | No log | 19.0 | 209 | 0.9269 |
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+ | No log | 20.0 | 220 | 0.9061 |
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+ | No log | 21.0 | 231 | 0.8869 |
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+ | No log | 22.0 | 242 | 0.8719 |
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+ | No log | 23.0 | 253 | 0.8521 |
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+ | No log | 24.0 | 264 | 0.8357 |
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+ | No log | 25.0 | 275 | 0.8169 |
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+ | No log | 26.0 | 286 | 0.8026 |
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+ | No log | 27.0 | 297 | 0.7936 |
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+ | No log | 28.0 | 308 | 0.7783 |
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+ | No log | 29.0 | 319 | 0.7677 |
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+ | No log | 30.0 | 330 | 0.7577 |
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+ | No log | 31.0 | 341 | 0.7516 |
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+ | No log | 32.0 | 352 | 0.7431 |
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+ | No log | 33.0 | 363 | 0.7355 |
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+ | No log | 34.0 | 374 | 0.7287 |
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+ | No log | 35.0 | 385 | 0.7220 |
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+ | No log | 36.0 | 396 | 0.7154 |
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+ | No log | 37.0 | 407 | 0.7119 |
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+ | No log | 38.0 | 418 | 0.7073 |
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+ | No log | 39.0 | 429 | 0.7025 |
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+ | No log | 40.0 | 440 | 0.6976 |
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+ | No log | 41.0 | 451 | 0.6931 |
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+ | No log | 42.0 | 462 | 0.6890 |
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+ | No log | 43.0 | 473 | 0.6859 |
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+ | No log | 44.0 | 484 | 0.6830 |
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+ | No log | 45.0 | 495 | 0.6807 |
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+ | 0.7544 | 46.0 | 506 | 0.6785 |
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+ | 0.7544 | 47.0 | 517 | 0.6774 |
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+ | 0.7544 | 48.0 | 528 | 0.6769 |
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+ | 0.7544 | 49.0 | 539 | 0.6768 |
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+ | 0.7544 | 50.0 | 550 | 0.6767 |
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  ### Framework versions
config.json CHANGED
@@ -12,14 +12,16 @@
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  "id2label": {
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  "0": "LABEL_0",
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  "1": "LABEL_1",
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- "2": "LABEL_2"
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 512,
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  "label2id": {
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  "LABEL_0": 0,
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  "LABEL_1": 1,
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- "LABEL_2": 2
 
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "id2label": {
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  "0": "LABEL_0",
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  "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 512,
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  "label2id": {
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  "LABEL_0": 0,
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  "LABEL_1": 1,
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+ "LABEL_2": 2,
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+ "LABEL_3": 3
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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