Training in progress epoch 0

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,54 @@
+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: VanessaSchenkel/padrao-mbart-finetuned-opus_books
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# VanessaSchenkel/padrao-mbart-finetuned-opus_books
+
+This model is a fine-tuned version of [Narrativa/mbart-large-50-finetuned-opus-en-pt-translation](https://huggingface.co/Narrativa/mbart-large-50-finetuned-opus-en-pt-translation) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.9698
+- Validation Loss: 1.9414
+- Train Bleu: 25.3502
+- Train Gen Len: 30.1228
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
+|:----------:|:---------------:|:----------:|:-------------:|:-----:|
+| 2.9698     | 1.9414          | 25.3502    | 30.1228       | 0     |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- TensorFlow 2.8.2
+- Datasets 2.4.0
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "Narrativa/mbart-large-50-finetuned-opus-en-pt-translation",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "MBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": 200,
+  "max_position_embeddings": 1024,
+  "model_type": "mbart",
+  "normalize_before": true,
+  "normalize_embedding": true,
+  "num_beams": 5,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "static_position_embeddings": false,
+  "tokenizer_class": "MBart50Tokenizer",
+  "transformers_version": "4.21.1",
+  "use_cache": true,
+  "vocab_size": 250054
+}

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special_tokens_map.json

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tokenizer_config.json

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+    "ar_AR",
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+    "en_XX",
+    "es_XX",
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+    "fi_FI",
+    "fr_XX",
+    "gu_IN",
+    "hi_IN",
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+    "ko_KR",
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+    "my_MM",
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+    "nl_XX",
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+    "ru_RU",
+    "si_LK",
+    "tr_TR",
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+    "zh_CN",
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+    "mk_MK",
+    "ml_IN",
+    "mn_MN",
+    "mr_IN",
+    "pl_PL",
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+    "pt_XX",
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+    "sw_KE",
+    "ta_IN",
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+    "th_TH",
+    "tl_XX",
+    "uk_UA",
+    "ur_PK",
+    "xh_ZA",
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+  "name_or_path": "Narrativa/mbart-large-50-finetuned-opus-en-pt-translation",
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+  "sp_model_kwargs": {},
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+  "src_lang": "en_XX",
+  "tgt_lang": "pt_XX",
+  "tokenizer_class": "MBart50Tokenizer",
+  "unk_token": "<unk>"
+}