Training in progress, step 380

config.json

@@ -1,37 +1,28 @@
 {
-  "_name_or_path": "PhucDanh/Bartpho-fine-tuning-model-for-question-answering",
-  "activation_dropout": 0.0,
-  "activation_function": "gelu",
+  "_name_or_path": "xlm-roberta-base",
   "architectures": [
-    "MBartForQuestionAnswering"
+    "XLMRobertaForQuestionAnswering"
   ],
-  "attention_dropout": 0.0,
+  "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
-  "classifier_dropout": 0.0,
-  "d_model": 1024,
-  "decoder_attention_heads": 16,
-  "decoder_ffn_dim": 4096,
-  "decoder_layerdrop": 0.0,
-  "decoder_layers": 12,
-  "decoder_start_token_id": 2,
-  "dropout": 0.1,
-  "encoder_attention_heads": 16,
-  "encoder_ffn_dim": 4096,
-  "encoder_layerdrop": 0.0,
-  "encoder_layers": 12,
+  "classifier_dropout": null,
   "eos_token_id": 2,
-  "forced_eos_token_id": 2,
-  "gradient_checkpointing": false,
-  "init_std": 0.02,
-  "is_encoder_decoder": true,
-  "max_position_embeddings": 1024,
-  "model_type": "mbart",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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,
-  "scale_embedding": false,
-  "tokenizer_class": "BartphoTokenizer",
+  "position_embedding_type": "absolute",
   "torch_dtype": "float32",
   "transformers_version": "4.47.0",
+  "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 40031
+  "vocab_size": 250002
 }

model.safetensors

@@ -1,3 +1,3 @@
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+size 1109842416

training_args.bin

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