0928_humaneval_tuning

config.json

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+{
+  "_name_or_path": "/home/acd13734km/PACLIC2023/PACLIC_program/Add_Train//mt5_orig_msp",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
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+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.1"
+}

pytorch_model.bin

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+size 1200769797

special_tokens_map.json

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+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

spiece.model

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t5marulog.jsonl

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+{"log": "trained", "date": "2023-09-28T16:31:35", "elapsed": "00:06:24", "model": "/home/acd13734km/PACLIC2023/PACLIC_program/Add_Train//mt5_orig_msp", "max_length": 128, "target_max_length": 128, "batch_size": 16, "gradient_accumulation_steps": 1, "train_steps": 3570, "accelerator": "gpu", "devices": "auto", "precision": 32, "strategy": "auto", "gradient_clip_val": 1.0, "compile": true, "solver": "adamw", "lr": 0.0003, "warmup_steps": 1, "training_steps": 100000, "adam_epsilon": 1e-08, "weight_decay": 0.0, "epoch": 10, "step": 3210, "saved": "human_mt5_orig_msp"}

tokenizer_config.json

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+{
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+  "clean_up_tokenization_spaces": true,
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+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}