add MT model

all_results.json

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+{
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+    "predict_bleu": 29.4826,
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+    "predict_loss": 3.049677848815918,
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+    "train_samples": 4790,
+    "train_samples_per_second": 28.288,
+    "train_steps_per_second": 2.829
+}

config.json

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+{
+  "_name_or_path": "/data/users/didelani/afribart/afrimbart",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "adapters": {
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+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "MBartForConditionalGeneration"
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+  "decoder_start_token_id": 250020,
+  "dropout": 0.1,
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+  "encoder_layerdrop": 0.0,
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+  "forced_bos_token_id": 250008,
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+  "gradient_checkpointing": false,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2"
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+    "LABEL_2": 2
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+  "model_type": "mbart",
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+  "normalize_embedding": true,
+  "num_beams": 5,
+  "num_hidden_layers": 12,
+  "output_past": true,
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+  "scale_embedding": true,
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+  "torch_dtype": "float32",
+  "transformers_version": "4.10.3",
+  "use_cache": true,
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+}

predict_results.json

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+}

pytorch_model.bin

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sentencepiece.bpe.model

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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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training_args.bin

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