Model save

README.md

@@ -1,3 +1,52 @@
 ---
-license: cc-by-nc-2.0
+license: mit
+base_model: ijazulhaq/bert-base-pashto
+tags:
+- generated_from_trainer
+model-index:
+- name: pashto-pos
+  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. -->
+
+# pashto-pos
+
+This model is a fine-tuned version of [ijazulhaq/bert-base-pashto](https://huggingface.co/ijazulhaq/bert-base-pashto) on an unknown dataset.
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "ijazulhaq/bert-base-pashto",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "BA",
+    "1": "CC",
+    "2": "DT",
+    "3": "FX",
+    "4": "IN",
+    "5": "JJ",
+    "6": "NB",
+    "7": "NG",
+    "8": "NNF",
+    "9": "NNM",
+    "10": "NNP",
+    "11": "NNS",
+    "12": "PRC",
+    "13": "PRDEM",
+    "14": "PRDIS",
+    "15": "PRP$",
+    "16": "PRPi",
+    "17": "PRPii",
+    "18": "PRPiii",
+    "19": "PRW",
+    "20": "PT",
+    "21": "PU",
+    "22": "RB",
+    "23": "RP",
+    "24": "UH",
+    "25": "VBD",
+    "26": "VBDC",
+    "27": "VBDX",
+    "28": "VBG",
+    "29": "VBH",
+    "30": "VBIMP",
+    "31": "VBINF",
+    "32": "VBN",
+    "33": "VBP",
+    "34": "VBPC",
+    "35": "VBPX"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "BA": 0,
+    "CC": 1,
+    "DT": 2,
+    "FX": 3,
+    "IN": 4,
+    "JJ": 5,
+    "NB": 6,
+    "NG": 7,
+    "NNF": 8,
+    "NNM": 9,
+    "NNP": 10,
+    "NNS": 11,
+    "PRC": 12,
+    "PRDEM": 13,
+    "PRDIS": 14,
+    "PRP$": 15,
+    "PRPi": 16,
+    "PRPii": 17,
+    "PRPiii": 18,
+    "PRW": 19,
+    "PT": 20,
+    "PU": 21,
+    "RB": 22,
+    "RP": 23,
+    "UH": 24,
+    "VBD": 25,
+    "VBDC": 26,
+    "VBDX": 27,
+    "VBG": 28,
+    "VBH": 29,
+    "VBIMP": 30,
+    "VBINF": 31,
+    "VBN": 32,
+    "VBP": 33,
+    "VBPC": 34,
+    "VBPX": 35
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30000
+}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4027