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End of training

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README.md ADDED
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+ ---
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+ base_model: vinai/phobert-base-v2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: phobert-base-v2-ed
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # phobert-base-v2-ed
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+
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+ This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0455
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+ - F1 Micro: 0.7302
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+ - F1 Macro: 0.0774
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+ - Recall Micro: 0.6299
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+ - Precision Micro: 0.8683
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+ - Recall Macro: 0.0745
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+ - Precision Macro: 0.0806
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Recall Micro | Precision Micro | Recall Macro | Precision Macro |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------------:|:---------------:|:------------:|:---------------:|
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+ | 0.0638 | 1.0 | 1526 | 0.0622 | 0.7114 | 0.0257 | 0.6218 | 0.8312 | 0.0271 | 0.0244 |
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+ | 0.046 | 2.0 | 3052 | 0.0543 | 0.7112 | 0.0259 | 0.6021 | 0.8684 | 0.0263 | 0.0255 |
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+ | 0.0462 | 3.0 | 4578 | 0.0494 | 0.7049 | 0.0716 | 0.5895 | 0.8764 | 0.0685 | 0.0803 |
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+ | 0.0472 | 4.0 | 6104 | 0.0461 | 0.7326 | 0.0762 | 0.6402 | 0.8562 | 0.0724 | 0.0812 |
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+ | 0.0228 | 5.0 | 7630 | 0.0455 | 0.7302 | 0.0774 | 0.6299 | 0.8683 | 0.0745 | 0.0806 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "vinai/phobert-base-v2",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Appeal",
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+ "1": "Merge-org",
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+ "2": "Sue",
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+ "3": "O",
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+ "4": "End-position",
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+ "5": "Start-position",
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+ "6": "Transfer-ownership",
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+ "7": "Sentence",
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+ "8": "Transfer-money",
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+ "9": "Trial-hearing",
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+ "10": "Die",
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+ "11": "Injure",
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+ "12": "Release-parole",
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+ "13": "Divorce",
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+ "14": "Marry",
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+ "15": "Pardon",
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+ "16": "Meet",
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+ "17": "Convict",
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+ "18": "Demonstrate",
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+ "19": "Start-org",
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+ "20": "Extradite",
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+ "21": "Fine",
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+ "22": "Execute",
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+ "23": "Phone-write",
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+ "24": "Arrest-jail",
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+ "25": "End-org",
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+ "26": "Elect",
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+ "27": "Declare-bankruptcy",
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+ "28": "Nominate",
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+ "29": "Attack",
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+ "30": "Be-born",
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+ "31": "Arquit",
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+ "32": "Transport",
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+ "33": "Charge-indict"
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+ },
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+ "initializer_range": 0.02,
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+ "Convict": 17,
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+ "Declare-bankruptcy": 27,
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+ "Demonstrate": 18,
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+ "Die": 10,
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+ "Divorce": 13,
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+ "Elect": 26,
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+ "End-org": 25,
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+ "End-position": 4,
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+ "Execute": 22,
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+ "Extradite": 20,
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+ "Fine": 21,
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+ "Injure": 11,
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+ "Marry": 14,
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+ "Meet": 16,
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+ "Merge-org": 1,
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+ "Nominate": 28,
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+ "O": 3,
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+ "Pardon": 15,
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+ "Transfer-money": 8,
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+ "Transfer-ownership": 6,
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+ "Transport": 32,
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+ "Trial-hearing": 9
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 258,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "tokenizer_class": "PhobertTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 64001
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+ }
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