Add model

classes.dict

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+1	90717
+2	49736
+0	49438

config.json

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+{
+  "attention_probs_dropout_prob": 0.1, 
+  "directionality": "bidi", 
+  "hidden_act": "gelu", 
+  "hidden_dropout_prob": 0.1, 
+  "hidden_size": 768, 
+  "initializer_range": 0.02, 
+  "intermediate_size": 3072, 
+  "max_position_embeddings": 512, 
+  "num_attention_heads": 12, 
+  "num_hidden_layers": 12, 
+  "pooler_fc_size": 768, 
+  "pooler_num_attention_heads": 12, 
+  "pooler_num_fc_layers": 3, 
+  "pooler_size_per_head": 128, 
+  "pooler_type": "first_token_transform", 
+  "type_vocab_size": 2, 
+  "vocab_size": 119547,
+  "model_type": "bert"
+}

model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:090d84f77a44aedfa98dcb227b7e9e46e313bd446afa2c2c9f747bb20ee481df
+size 24290872

model_opt.json

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+{
+  "embedding_size": 768,
+  "n_classes": 3,
+  "model_name": "cnn_model",
+  "optimizer": "Adam",
+  "loss": "categorical_crossentropy",
+  "learning_rate": 0.01,
+  "learning_rate_decay": 0.1,
+  "last_layer_activation": "softmax",
+  "restore_lr": false,
+  "classes": null,
+  "text_size": null,
+  "padding": "pre",
+  "in": [
+    "word_emb"
+  ],
+  "in_y": [
+    "y_onehot"
+  ],
+  "out": [
+    "y_pred_probas"
+  ],
+  "main": true,
+  "save_path": "/content/drive/MyDrive/BERT/custom_bert/model",
+  "load_path": "/content/drive/MyDrive/BERT/custom_bert/model",
+  "kernel_sizes_cnn": [
+    3,
+    5,
+    7
+  ],
+  "filters_cnn": 512,
+  "coef_reg_cnn": 0.001,
+  "coef_reg_den": 0.01,
+  "dropout_rate": 0.5,
+  "dense_size": 100,
+  "mode": "infer",
+  "final_learning_rate": 0.009999999776482582,
+  "epochs_done": 0
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fc968f65e8a0e481033c2f1dced07d29da62365161e4eb7f6f4e755d74d9c260
+size 714312947