add MT model

all_results.json

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+{
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+    "eval_bleu": 6.7334,
+    "eval_gen_len": 68.5849,
+    "eval_loss": 3.111595630645752,
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+    "eval_samples": 1284,
+    "eval_samples_per_second": 1.816,
+    "eval_steps_per_second": 0.182,
+    "predict_bleu": 8.4553,
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+    "predict_loss": 2.9037132263183594,
+    "predict_runtime": 830.3397,
+    "predict_samples": 1500,
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+    "train_loss": 1.2593179942605024,
+    "train_runtime": 1195.1378,
+    "train_samples": 3337,
+    "train_samples_per_second": 27.921,
+    "train_steps_per_second": 2.795
+}

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "facebook/m2m100_418M",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "M2M100ForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.05,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.05,
+  "encoder_layers": 12,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 128088,
+  "gradient_checkpointing": false,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": 200,
+  "max_position_embeddings": 1024,
+  "model_type": "m2m_100",
+  "num_beams": 5,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.3",
+  "use_cache": true,
+  "vocab_size": 128112
+}

eval_results.json

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+{
+    "epoch": 10.0,
+    "eval_bleu": 6.7334,
+    "eval_gen_len": 68.5849,
+    "eval_loss": 3.111595630645752,
+    "eval_runtime": 706.94,
+    "eval_samples": 1284,
+    "eval_samples_per_second": 1.816,
+    "eval_steps_per_second": 0.182
+}

predict_results.json

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+{
+    "predict_bleu": 8.4553,
+    "predict_gen_len": 71.6253,
+    "predict_loss": 2.9037132263183594,
+    "predict_runtime": 830.3397,
+    "predict_samples": 1500,
+    "predict_samples_per_second": 1.806,
+    "predict_steps_per_second": 0.181
+}

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>", "additional_special_tokens": ["__af__", "__am__", "__ar__", "__ast__", "__az__", "__ba__", "__be__", "__bg__", "__bn__", "__br__", "__bs__", "__ca__", "__ceb__", "__cs__", "__cy__", "__da__", "__de__", "__el__", "__en__", "__es__", "__et__", "__fa__", "__ff__", "__fi__", "__fr__", "__fy__", "__ga__", "__gd__", "__gl__", "__gu__", "__ha__", "__he__", "__hi__", "__hr__", "__ht__", "__hu__", "__hy__", "__id__", "__ig__", "__ilo__", "__is__", "__it__", "__ja__", "__jv__", "__ka__", "__kk__", "__km__", "__kn__", "__ko__", "__lb__", "__lg__", "__ln__", "__lo__", "__lt__", "__lv__", "__mg__", "__mk__", "__ml__", "__mn__", "__mr__", "__ms__", "__my__", "__ne__", "__nl__", "__no__", "__ns__", "__oc__", "__or__", "__pa__", "__pl__", "__ps__", "__pt__", "__ro__", "__ru__", "__sd__", "__si__", "__sk__", "__sl__", "__so__", "__sq__", "__sr__", "__ss__", "__su__", "__sv__", "__sw__", "__ta__", "__th__", "__tl__", "__tn__", "__tr__", "__uk__", "__ur__", "__uz__", "__vi__", "__wo__", "__xh__", "__yi__", "__yo__", "__zh__", "__zu__"]}

tokenizer_config.json

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train_results.json

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+{
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+}

trainer_state.json

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training_args.bin

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