End of training

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "vinai/phobert-large",
+  "_name_or_path": "vinai/phobert-base",
   "architectures": [
     "RobertaForTokenClassification"
   ],
@@ -10,7 +10,7 @@
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 1024,
+  "hidden_size": 768,
   "id2label": {
     "0": "B-RM",
     "1": "I-RM",
@@ -19,7 +19,7 @@
     "4": "O"
   },
   "initializer_range": 0.02,
-  "intermediate_size": 4096,
+  "intermediate_size": 3072,
   "label2id": {
     "B-IM": 2,
     "B-RM": 0,
@@ -30,13 +30,13 @@
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 258,
   "model_type": "roberta",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 24,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "tokenizer_class": "PhobertTokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.29.2",
+  "transformers_version": "4.31.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 64001

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 537714409

training_args.bin

@@ -1,3 +1,3 @@
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 size 3963