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entity_model_nov5

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README.md ADDED
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+ ---
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+ license: cc-by-sa-4.0
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+ base_model: nlpaueb/bert-base-uncased-contracts
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: entity_model
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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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+ # entity_model
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+
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+ This model is a fine-tuned version of [nlpaueb/bert-base-uncased-contracts](https://huggingface.co/nlpaueb/bert-base-uncased-contracts) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0230
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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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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2326 | 1.0 | 208 | 0.1823 |
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+ | 0.1492 | 2.0 | 416 | 0.1103 |
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+ | 0.1086 | 3.0 | 624 | 0.0816 |
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+ | 0.0727 | 4.0 | 832 | 0.0594 |
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+ | 0.0652 | 5.0 | 1040 | 0.0471 |
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+ | 0.0594 | 6.0 | 1248 | 0.0388 |
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+ | 0.0472 | 7.0 | 1456 | 0.0327 |
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+ | 0.0417 | 8.0 | 1664 | 0.0283 |
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+ | 0.0353 | 9.0 | 1872 | 0.0250 |
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+ | 0.0289 | 10.0 | 2080 | 0.0230 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "nlpaueb/bert-base-uncased-contracts",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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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": "O",
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+ "1": "B-AGREEMENT_DATE",
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+ "2": "B-COST",
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+ "3": "B-DOCUMENT_NAME",
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+ "4": "B-EFFECTIVE_DATE",
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+ "5": "B-EXPIRATION_DATE",
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+ "6": "B-GOVERNING_LAW",
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+ "7": "B-NOTICE_PERIOD_TO_TERMINATE_RENEWAL",
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+ "8": "B-PARTIES",
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+ "9": "B-PARTY_ADDRESS",
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+ "10": "B-RENEWAL_TERM",
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+ "11": "I-AGREEMENT_DATE",
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+ "12": "I-COST",
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
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tokenizer.json ADDED
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vocab.txt ADDED
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