add MT model

all_results.json

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+{
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+    "train_samples_per_second": 13.981,
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+}

config.json

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+{
+  "_name_or_path": "afribyT5_1",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 3968,
+  "d_kv": 64,
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+  "dropout_rate": 0.1,
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+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 6,
+  "num_heads": 12,
+  "num_layers": 18,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "ByT5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.0",
+  "use_cache": true,
+  "vocab_size": 384
+}

predict_results.json

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+{
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+    "predict_gen_len": 104.2364,
+    "predict_loss": 0.9353697299957275,
+    "predict_runtime": 1022.4104,
+    "predict_samples": 1430,
+    "predict_samples_per_second": 1.399,
+    "predict_steps_per_second": 0.14
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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+}

trainer_state.json

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