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.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 +1,62 @@
+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: xlm-roberta-base-finetuned-ud-arabic
+  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. -->
+
+# xlm-roberta-base-finetuned-ud-arabic
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0931
+- F1: 0.9681
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1854        | 1.0   | 3038 | 0.1102          | 0.9599 |
+| 0.0908        | 2.0   | 6076 | 0.0918          | 0.9659 |
+| 0.0576        | 3.0   | 9114 | 0.0931          | 0.9681 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.0.0
+- Datasets 2.13.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "X",
+    "1": "VERB",
+    "2": "NOUN",
+    "3": "ADJ",
+    "4": "ADP",
+    "5": "PUNCT",
+    "6": "NUM",
+    "7": "_",
+    "8": "PRON",
+    "9": "SCONJ",
+    "10": "CCONJ",
+    "11": "DET",
+    "12": "PART",
+    "13": "ADV",
+    "14": "SYM",
+    "15": "AUX",
+    "16": "PROPN",
+    "17": "INTJ"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ADJ": 3,
+    "ADP": 4,
+    "ADV": 13,
+    "AUX": 15,
+    "CCONJ": 10,
+    "DET": 11,
+    "INTJ": 17,
+    "NOUN": 2,
+    "NUM": 6,
+    "PART": 12,
+    "PRON": 8,
+    "PROPN": 16,
+    "PUNCT": 5,
+    "SCONJ": 9,
+    "SYM": 14,
+    "VERB": 1,
+    "X": 0,
+    "_": 7
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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runs/Jan14_18-04-10_272c129e5edc/events.out.tfevents.1705255463.272c129e5edc.26.0

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special_tokens_map.json

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tokenizer_config.json

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+}

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