Training in progress, step 500

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "airesearch/wangchanberta-base-att-spm-uncased",
+  "architectures": [
+    "CamembertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ADVI",
+    "1": "ADVN",
+    "2": "ADVP",
+    "3": "ADVS",
+    "4": "CFQC",
+    "5": "CLTV",
+    "6": "CMTR",
+    "7": "CMTR@PUNC",
+    "8": "CNIT",
+    "9": "CVBL",
+    "10": "DCNM",
+    "11": "DDAC",
+    "12": "DDAN",
+    "13": "DDAQ",
+    "14": "DDBQ",
+    "15": "DIAC",
+    "16": "DIAQ",
+    "17": "DIBQ",
+    "18": "DONM",
+    "19": "EAFF",
+    "20": "EITT",
+    "21": "FIXN",
+    "22": "FIXV",
+    "23": "JCMP",
+    "24": "JCRG",
+    "25": "JSBR",
+    "26": "NCMN",
+    "27": "NCNM",
+    "28": "NEG",
+    "29": "NLBL",
+    "30": "NONM",
+    "31": "NPRP",
+    "32": "NTTL",
+    "33": "PDMN",
+    "34": "PNTR",
+    "35": "PPRS",
+    "36": "PREL",
+    "37": "PUNC",
+    "38": "RPRE",
+    "39": "VACT",
+    "40": "VATT",
+    "41": "VSTA",
+    "42": "XVAE",
+    "43": "XVAM",
+    "44": "XVBB",
+    "45": "XVBM",
+    "46": "XVMM"
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "JCRG": 24,
+    "JSBR": 25,
+    "NCMN": 26,
+    "NCNM": 27,
+    "NEG": 28,
+    "NLBL": 29,
+    "NONM": 30,
+    "NPRP": 31,
+    "NTTL": 32,
+    "PDMN": 33,
+    "PNTR": 34,
+    "PPRS": 35,
+    "PREL": 36,
+    "PUNC": 37,
+    "RPRE": 38,
+    "VACT": 39,
+    "VATT": 40,
+    "VSTA": 41,
+    "XVAE": 42,
+    "XVAM": 43,
+    "XVBB": 44,
+    "XVBM": 45,
+    "XVMM": 46
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "camembert",
+  "num_attention_head": 12,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 25005
+}

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