Training in progress, step 1000

config.json

@@ -1,29 +1,33 @@
 {
-  "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
+  "_name_or_path": "albert-base-v2",
   "architectures": [
-    "BertForMaskedLM"
+    "AlbertForMaskedLM"
   ],
-  "attention_probs_dropout_prob": 0.1,
-  "cell": {},
-  "classifier_dropout": null,
-  "emb_size": 312,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 312,
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
   "initializer_range": 0.02,
-  "intermediate_size": 1200,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "bert",
+  "model_type": "albert",
+  "net_structure_type": 0,
   "num_attention_heads": 12,
-  "num_hidden_layers": 4,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "pre_trained": "",
-  "structure": [],
   "torch_dtype": "float32",
   "transformers_version": "4.46.3",
   "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 30522
+  "vocab_size": 30000
 }

model.safetensors

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runs/Dec05_22-57-45_xtaco/events.out.tfevents.1733468268.xtaco.28020.0

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training_args.bin

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