Model save

README.md

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+---
+base_model: HooshvareLab/distilbert-fa-zwnj-base-ner
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-fa-zwnj-base-ner-finetuned-imdb
+  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. -->
+
+# distilbert-fa-zwnj-base-ner-finetuned-imdb
+
+This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base-ner](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base-ner) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.5676
+
+## 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: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.4421        | 1.0   | 157  | 5.1940          |
+| 5.0239        | 2.0   | 314  | 4.7141          |
+| 4.7427        | 3.0   | 471  | 4.5906          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "HooshvareLab/distilbert-fa-zwnj-base-ner",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForMaskedLM"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "finetuning_task": "ner",
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-DAT",
+    "2": "B-EVE",
+    "3": "B-FAC",
+    "4": "B-LOC",
+    "5": "B-MON",
+    "6": "B-ORG",
+    "7": "B-PCT",
+    "8": "B-PER",
+    "9": "B-PRO",
+    "10": "B-TIM",
+    "11": "I-DAT",
+    "12": "I-EVE",
+    "13": "I-FAC",
+    "14": "I-LOC",
+    "15": "I-MON",
+    "16": "I-ORG",
+    "17": "I-PCT",
+    "18": "I-PER",
+    "19": "I-PRO",
+    "20": "I-TIM"
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+  "initializer_range": 0.02,
+  "label2id": {
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+    "I-PCT": 17,
+    "I-PER": 18,
+    "I-PRO": 19,
+    "I-TIM": 20,
+    "O": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "vocab_size": 42000
+}

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special_tokens_map.json

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+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+}

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