first commit

config.json

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+{
+  "_name_or_path": "tareknaous/bert2bert-empathetic-response-msa",
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "aubmindlab/bert-base-arabert",
+    "add_cross_attention": true,
+    "architectures": [
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+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
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+    "hidden_size": 768,
+    "id2label": {
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+      "1": "LABEL_1"
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+    "model_type": "bert",
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+    "num_attention_heads": 12,
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+    "pooler_type": "first_token_transform",
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+    "use_cache": true,
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+    "xla_device": null
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+  "early_stopping": true,
+  "encoder": {
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+    "add_cross_attention": false,
+    "architectures": [
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+    "bad_words_ids": null,
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+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
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+    "pooler_type": "first_token_transform",
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+    "return_dict": true,
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+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
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+    "top_k": 50,
+    "top_p": 1.0,
+    "torchscript": false,
+    "transformers_version": "4.2.0",
+    "type_vocab_size": 2,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 64000,
+    "xla_device": null
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+  "is_encoder_decoder": true,
+  "max_length": 64,
+  "model_type": "encoder-decoder",
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+  "vocab_size": 64000
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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