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README.md

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 ---
-license: cc-by-4.0
+tags:
+- generated_from_trainer
+datasets:
+- rubric
+metrics:
+- accuracy
+model-index:
+- name: estbert128_lr5e-5_b16_s3
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: rubric
+      type: rubric
+      args: rubric
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8329238295555115
 ---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# estbert128_lr5e-5_b16_s3
+
+This model is a fine-tuned version of [tartuNLP/EstBERT](https://huggingface.co/tartuNLP/EstBERT) on the rubric dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0552
+- Accuracy: 0.8329
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 3
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: polynomial
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.1147        | 1.0   | 179   | 0.7421          | 0.7445   |
+| 0.4323        | 2.0   | 358   | 0.6863          | 0.7813   |
+| 0.1442        | 3.0   | 537   | 0.8545          | 0.7838   |
+| 0.0496        | 4.0   | 716   | 1.2872          | 0.7494   |
+| 0.0276        | 5.0   | 895   | 1.4702          | 0.7641   |
+| 0.0202        | 6.0   | 1074  | 1.3764          | 0.7838   |
+| 0.0144        | 7.0   | 1253  | 1.5762          | 0.7887   |
+| 0.0078        | 8.0   | 1432  | 1.8806          | 0.7666   |
+| 0.0177        | 9.0   | 1611  | 1.6159          | 0.7912   |
+| 0.0223        | 10.0  | 1790  | 1.5863          | 0.7936   |
+| 0.0108        | 11.0  | 1969  | 1.8051          | 0.7912   |
+| 0.0201        | 12.0  | 2148  | 1.9344          | 0.7789   |
+| 0.0252        | 13.0  | 2327  | 1.7978          | 0.8084   |
+| 0.0104        | 14.0  | 2506  | 1.8779          | 0.7887   |
+| 0.0138        | 15.0  | 2685  | 1.6456          | 0.8133   |
+| 0.0066        | 16.0  | 2864  | 1.9668          | 0.7912   |
+| 0.0148        | 17.0  | 3043  | 2.0068          | 0.7813   |
+| 0.0128        | 18.0  | 3222  | 2.1539          | 0.7617   |
+| 0.0115        | 19.0  | 3401  | 2.2490          | 0.7838   |
+| 0.0186        | 20.0  | 3580  | 2.1768          | 0.7666   |
+| 0.0051        | 21.0  | 3759  | 1.8859          | 0.7912   |
+| 0.001         | 22.0  | 3938  | 2.0132          | 0.7912   |
+| 0.0133        | 23.0  | 4117  | 1.8786          | 0.8084   |
+| 0.0149        | 24.0  | 4296  | 2.2307          | 0.7961   |
+| 0.014         | 25.0  | 4475  | 2.0041          | 0.8206   |
+| 0.0132        | 26.0  | 4654  | 1.8872          | 0.8133   |
+| 0.0079        | 27.0  | 4833  | 1.9357          | 0.7961   |
+| 0.0078        | 28.0  | 5012  | 2.1891          | 0.7936   |
+| 0.0126        | 29.0  | 5191  | 2.0207          | 0.8034   |
+| 0.0003        | 30.0  | 5370  | 2.1917          | 0.8010   |
+| 0.0015        | 31.0  | 5549  | 2.0417          | 0.8157   |
+| 0.0056        | 32.0  | 5728  | 2.1172          | 0.8084   |
+| 0.0058        | 33.0  | 5907  | 2.1921          | 0.8206   |
+| 0.0001        | 34.0  | 6086  | 2.0079          | 0.8206   |
+| 0.0031        | 35.0  | 6265  | 2.2447          | 0.8206   |
+| 0.0007        | 36.0  | 6444  | 2.1802          | 0.8084   |
+| 0.0061        | 37.0  | 6623  | 2.1103          | 0.8157   |
+| 0.0           | 38.0  | 6802  | 2.2265          | 0.8084   |
+| 0.0035        | 39.0  | 6981  | 2.0549          | 0.8329   |
+| 0.0038        | 40.0  | 7160  | 2.1352          | 0.8182   |
+| 0.0001        | 41.0  | 7339  | 2.0975          | 0.8108   |
+| 0.0           | 42.0  | 7518  | 2.0833          | 0.8256   |
+| 0.0           | 43.0  | 7697  | 2.1020          | 0.8280   |
+| 0.0           | 44.0  | 7876  | 2.0841          | 0.8305   |
+| 0.0           | 45.0  | 8055  | 2.2085          | 0.8182   |
+| 0.0           | 46.0  | 8234  | 2.0756          | 0.8329   |
+| 0.0           | 47.0  | 8413  | 2.1237          | 0.8305   |
+| 0.0           | 48.0  | 8592  | 2.1217          | 0.8280   |
+| 0.0052        | 49.0  | 8771  | 2.3567          | 0.8059   |
+| 0.0014        | 50.0  | 8950  | 2.1710          | 0.8206   |
+| 0.0032        | 51.0  | 9129  | 2.1452          | 0.8206   |
+| 0.0           | 52.0  | 9308  | 2.2820          | 0.8133   |
+| 0.0001        | 53.0  | 9487  | 2.2279          | 0.8157   |
+| 0.0           | 54.0  | 9666  | 2.1841          | 0.8182   |
+| 0.0           | 55.0  | 9845  | 2.1208          | 0.8231   |
+| 0.0           | 56.0  | 10024 | 2.0967          | 0.8256   |
+| 0.0002        | 57.0  | 10203 | 2.1911          | 0.8231   |
+| 0.0           | 58.0  | 10382 | 2.2014          | 0.8231   |
+| 0.0           | 59.0  | 10561 | 2.2014          | 0.8182   |
+
+
+### Framework versions
+
+- Transformers 4.14.1
+- Pytorch 1.10.1+cu113
+- Datasets 1.16.1
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "tartuNLP/EstBERT",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_ids": 0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ARVAMUS",
+    "1": "EESTI",
+    "2": "ELU-O",
+    "3": "KOMM-O-ELU",
+    "4": "KOMM-P-EESTI",
+    "5": "KRIMI",
+    "6": "KULTUUR",
+    "7": "SPORT",
+    "8": "VALISMAA"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ARVAMUS": 0,
+    "EESTI": 1,
+    "ELU-O": 2,
+    "KOMM-O-ELU": 3,
+    "KOMM-P-EESTI": 4,
+    "KRIMI": 5,
+    "KULTUUR": 6,
+    "SPORT": 7,
+    "VALISMAA": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.14.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50000
+}

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}