Initial commit from mrm8488

config.json

@@ -0,0 +1,152 @@
+{
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "dccuchile/bert-base-spanish-wwm-cased",
+    "add_cross_attention": true,
+    "architectures": [
+      "BertForMaskedLM"
+    ],
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+    "bad_words_ids": null,
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+    "chunk_size_feed_forward": 0,
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
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+    "finetuning_task": null,
+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "id2label": {
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+      "1": "LABEL_1"
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+    "intermediate_size": 3072,
+    "is_decoder": true,
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+    "label2id": {
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+      "LABEL_1": 1
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+    "max_length": 20,
+    "max_position_embeddings": 512,
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+    "model_type": "bert",
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+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_past": true,
+    "pad_token_id": 1,
+    "position_embedding_type": "absolute",
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+    "pruned_heads": {},
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+    "return_dict": true,
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+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
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+    "top_k": 50,
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+    "use_bfloat16": false,
+    "vocab_size": 31002,
+    "xla_device": null
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+  "early_stopping": true,
+  "encoder": {
+    "_name_or_path": "dccuchile/bert-base-spanish-wwm-cased",
+    "add_cross_attention": false,
+    "architectures": [
+      "BertForMaskedLM"
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+    "decoder_start_token_id": null,
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+    "id2label": {
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+    "model_type": "bert",
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+    "type_vocab_size": 2,
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+    "vocab_size": 31002,
+    "xla_device": null
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+  "is_encoder_decoder": true,
+  "length_penalty": 2.0,
+  "max_length": 64,
+  "min_length": 8,
+  "model_type": "encoder-decoder",
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+  "num_beams": 4,
+  "pad_token_id": 1,
+  "tie_encoder_decoder": true,
+  "vocab_size": 31002
+}

pytorch_model.bin

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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training_args.bin

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