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arch_budget_hours_24.json

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+{
+    "architectures": [
+        "ScriptableCrammedBERT"
+    ],
+    "num_transformer_layers": 16,
+    "hidden_size": 768,
+    "intermed_size": 3072,
+    "hidden_dropout_prob": 0.1,
+    "norm": "LayerNorm",
+    "norm_eps": 1e-12,
+    "norm_scheme": "pre",
+    "nonlin": "GELUglu",
+    "tie_weights": true,
+    "decoder_bias": false,
+    "sparse_prediction": 0.25,
+    "loss": "cross-entropy",
+    "objective_layout": "MLM",
+    "embedding": {
+        "vocab_size": null,
+        "pos_embedding": "scaled-sinusoidal",
+        "dropout_prob": 0.1,
+        "pad_token_id": 0,
+        "max_seq_length": 128,
+        "embedding_dim": 768,
+        "normalization": true,
+        "stable_low_precision": false
+    },
+    "attention": {
+        "type": "self-attention",
+        "causal_attention": false,
+        "num_attention_heads": 12,
+        "dropout_prob": 0.1,
+        "skip_output_projection": false,
+        "qkv_bias": false,
+        "rotary_embedding": false,
+        "seq_op_in_fp32": false,
+        "sequence_op": "torch-softmax"
+    },
+    "init": {
+        "type": "normal",
+        "std": 0.02
+    },
+    "ffn_layer_frequency": 1,
+    "skip_head_transform": true,
+    "use_bias": false,
+    "final_norm": true,
+    "num_labels": null,
+    "classification_head": {
+        "pooler": "avg",
+        "include_ff_layer": true,
+        "head_dim": 1024,
+        "nonlin": "Tanh",
+        "classifier_dropout": 0.1
+    }
+}