add MT model

all_results.json

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+{
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+    "train_samples": 3500,
+    "train_samples_per_second": 27.468,
+    "train_steps_per_second": 2.747
+}

config.json

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+{
+  "_name_or_path": "afriT5_1",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
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+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
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+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.3",
+  "use_cache": true,
+  "vocab_size": 250100
+}

predict_results.json

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+{
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+}

pytorch_model.bin

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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train_results.json

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+{
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+    "train_samples": 3500,
+    "train_samples_per_second": 27.468,
+    "train_steps_per_second": 2.747
+}

trainer_state.json

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+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 4.2857142857142856e-05,
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training_args.bin

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