add MT model

all_results.json

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+{
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+    "eval_bleu": 14.7308,
+    "eval_gen_len": 27.9893,
+    "eval_loss": 3.4240899085998535,
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+    "eval_samples": 1500,
+    "eval_samples_per_second": 3.136,
+    "eval_steps_per_second": 0.314,
+    "predict_bleu": 13.9919,
+    "predict_gen_len": 26.9367,
+    "predict_loss": 3.4365780353546143,
+    "predict_runtime": 414.7523,
+    "predict_samples": 1500,
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+    "predict_steps_per_second": 0.362,
+    "train_loss": 1.1262757545592739,
+    "train_runtime": 1490.6185,
+    "train_samples": 4075,
+    "train_samples_per_second": 27.338,
+    "train_steps_per_second": 2.737
+}

config.json

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+{
+  "_name_or_path": "facebook/mbart-large-50",
+  "_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_bos_token_id": 250004,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
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+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2
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+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.0",
+  "use_cache": true,
+  "vocab_size": 250054
+}

eval_results.json

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+    "eval_runtime": 478.2556,
+    "eval_samples": 1500,
+    "eval_samples_per_second": 3.136,
+    "eval_steps_per_second": 0.314
+}

predict_results.json

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+{
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+    "predict_gen_len": 26.9367,
+    "predict_loss": 3.4365780353546143,
+    "predict_runtime": 414.7523,
+    "predict_samples": 1500,
+    "predict_samples_per_second": 3.617,
+    "predict_steps_per_second": 0.362
+}

pytorch_model.bin

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sentencepiece.bpe.model

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special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>", "additional_special_tokens": ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"]}

tokenizer_config.json

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train_results.json

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+}

trainer_state.json

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training_args.bin

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