End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,102 @@
+---
+library_name: transformers
+license: mit
+base_model: nielsr/lilt-xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: test
+  results: []
+---
+
+<!-- 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. -->
+
+# test
+
+This model is a fine-tuned version of [nielsr/lilt-xlm-roberta-base](https://huggingface.co/nielsr/lilt-xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2603
+- Precision: 0.8677
+- Recall: 0.8977
+- F1: 0.8825
+- Accuracy: 0.9623
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.8333  | 100  | 0.3280          | 0.6504    | 0.7664 | 0.7037 | 0.8873   |
+| No log        | 1.6667  | 200  | 0.1495          | 0.8044    | 0.8583 | 0.8305 | 0.9423   |
+| No log        | 2.5     | 300  | 0.1681          | 0.8192    | 0.8894 | 0.8529 | 0.9486   |
+| No log        | 3.3333  | 400  | 0.1133          | 0.8581    | 0.8818 | 0.8698 | 0.9578   |
+| 0.2697        | 4.1667  | 500  | 0.1116          | 0.8504    | 0.8798 | 0.8648 | 0.9575   |
+| 0.2697        | 5.0     | 600  | 0.1329          | 0.8163    | 0.8846 | 0.8491 | 0.9510   |
+| 0.2697        | 5.8333  | 700  | 0.1321          | 0.8524    | 0.8784 | 0.8652 | 0.9570   |
+| 0.2697        | 6.6667  | 800  | 0.1271          | 0.8597    | 0.8853 | 0.8723 | 0.9591   |
+| 0.2697        | 7.5     | 900  | 0.1245          | 0.8833    | 0.8839 | 0.8836 | 0.9630   |
+| 0.0644        | 8.3333  | 1000 | 0.1519          | 0.8831    | 0.8977 | 0.8903 | 0.9644   |
+| 0.0644        | 9.1667  | 1100 | 0.1324          | 0.8707    | 0.8887 | 0.8796 | 0.9609   |
+| 0.0644        | 10.0    | 1200 | 0.1315          | 0.8803    | 0.8943 | 0.8872 | 0.9617   |
+| 0.0644        | 10.8333 | 1300 | 0.1659          | 0.8672    | 0.8846 | 0.8758 | 0.9596   |
+| 0.0644        | 11.6667 | 1400 | 0.1696          | 0.8646    | 0.8956 | 0.8798 | 0.9599   |
+| 0.0312        | 12.5    | 1500 | 0.2016          | 0.8590    | 0.8970 | 0.8776 | 0.9596   |
+| 0.0312        | 13.3333 | 1600 | 0.1947          | 0.8420    | 0.8763 | 0.8588 | 0.9552   |
+| 0.0312        | 14.1667 | 1700 | 0.1909          | 0.8622    | 0.8735 | 0.8678 | 0.9573   |
+| 0.0312        | 15.0    | 1800 | 0.2181          | 0.8633    | 0.8770 | 0.8701 | 0.9583   |
+| 0.0312        | 15.8333 | 1900 | 0.2022          | 0.8706    | 0.8929 | 0.8816 | 0.9625   |
+| 0.0153        | 16.6667 | 2000 | 0.2072          | 0.8535    | 0.8901 | 0.8714 | 0.9588   |
+| 0.0153        | 17.5    | 2100 | 0.2023          | 0.8594    | 0.8915 | 0.8752 | 0.9596   |
+| 0.0153        | 18.3333 | 2200 | 0.2033          | 0.8786    | 0.9005 | 0.8894 | 0.9649   |
+| 0.0153        | 19.1667 | 2300 | 0.2130          | 0.8575    | 0.8901 | 0.8735 | 0.9591   |
+| 0.0153        | 20.0    | 2400 | 0.2264          | 0.8768    | 0.8950 | 0.8858 | 0.9628   |
+| 0.0053        | 20.8333 | 2500 | 0.2427          | 0.8673    | 0.8901 | 0.8786 | 0.9607   |
+| 0.0053        | 21.6667 | 2600 | 0.2551          | 0.8595    | 0.8963 | 0.8775 | 0.9604   |
+| 0.0053        | 22.5    | 2700 | 0.2497          | 0.8619    | 0.9012 | 0.8811 | 0.9620   |
+| 0.0053        | 23.3333 | 2800 | 0.2585          | 0.8717    | 0.8922 | 0.8818 | 0.9609   |
+| 0.0053        | 24.1667 | 2900 | 0.2549          | 0.8646    | 0.8915 | 0.8778 | 0.9602   |
+| 0.0025        | 25.0    | 3000 | 0.2591          | 0.8662    | 0.8991 | 0.8823 | 0.9620   |
+| 0.0025        | 25.8333 | 3100 | 0.2484          | 0.8655    | 0.8984 | 0.8817 | 0.9617   |
+| 0.0025        | 26.6667 | 3200 | 0.2530          | 0.8654    | 0.8977 | 0.8813 | 0.9615   |
+| 0.0025        | 27.5    | 3300 | 0.2563          | 0.8666    | 0.8936 | 0.8799 | 0.9615   |
+| 0.0025        | 28.3333 | 3400 | 0.2564          | 0.8707    | 0.8936 | 0.8820 | 0.9625   |
+| 0.0014        | 29.1667 | 3500 | 0.2598          | 0.8683    | 0.8977 | 0.8828 | 0.9623   |
+| 0.0014        | 30.0    | 3600 | 0.2603          | 0.8677    | 0.8977 | 0.8825 | 0.9623   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,56 @@
+{
+  "_name_or_path": "nielsr/lilt-xlm-roberta-base",
+  "architectures": [
+    "LiltForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "channel_shrink_ratio": 4,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-O",
+    "1": "I-O",
+    "2": "B-CITIZENSHIP_CERTIFICATE_NO",
+    "3": "I-CITIZENSHIP_CERTIFICATE_NO",
+    "4": "B-FULL_NAME",
+    "5": "I-FULL_NAME",
+    "6": "B-GENDER",
+    "7": "I-GENDER",
+    "8": "B-BIRTH_YEAR",
+    "9": "B-BIRTH_MONTH",
+    "10": "B-BIRTH_DAY",
+    "11": "I-BIRTH_MONTH",
+    "12": "B-DISTRICT",
+    "13": "B-MUNCIPALITY",
+    "14": "I-MUNCIPALITY",
+    "15": "B-WARD_NO",
+    "16": "I-WARD_NO",
+    "17": "B-FATHERS_NAME",
+    "18": "I-FATHERS_NAME",
+    "19": "B-MOTHERS_NAME",
+    "20": "I-MOTHERS_NAME",
+    "21": "I-BIRTH_YEAR",
+    "22": "I-DISTRICT",
+    "23": "I-BIRTH_DAY"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "model_type": "lilt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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runs/Mar13_14-17-20_48980022aece/events.out.tfevents.1741875441.48980022aece.1352.0

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special_tokens_map.json

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+    "lstrip": false,
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+    "single_word": false
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+    "rstrip": false,
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+    "lstrip": false,
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tokenizer_config.json

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+      "normalized": false,
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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