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clause_model_nov19

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  1. README.md +13 -13
  2. config.json +66 -66
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.9001
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- - Accuracy: 0.8546
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  ## Model description
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@@ -51,21 +51,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 1.3476 | 1.0 | 1269 | 0.8415 | 0.8147 |
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- | 0.5667 | 2.0 | 2538 | 0.6364 | 0.8466 |
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- | 0.3336 | 3.0 | 3807 | 0.6719 | 0.8537 |
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- | 0.2592 | 4.0 | 5076 | 0.6984 | 0.8582 |
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- | 0.1558 | 5.0 | 6345 | 0.7896 | 0.8466 |
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- | 0.1148 | 6.0 | 7614 | 0.8543 | 0.8493 |
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- | 0.0722 | 7.0 | 8883 | 0.8264 | 0.8626 |
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- | 0.0716 | 8.0 | 10152 | 0.9042 | 0.8520 |
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- | 0.0589 | 9.0 | 11421 | 0.8841 | 0.8564 |
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- | 0.0349 | 10.0 | 12690 | 0.9001 | 0.8546 |
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  ### Framework versions
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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
 
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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: 0.0520
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+ - Accuracy: 0.9917
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.5312 | 1.0 | 1179 | 0.8775 | 0.795 |
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+ | 0.6044 | 2.0 | 2358 | 0.3375 | 0.9192 |
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+ | 0.2778 | 3.0 | 3537 | 0.1704 | 0.9625 |
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+ | 0.162 | 4.0 | 4716 | 0.1016 | 0.9792 |
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+ | 0.121 | 5.0 | 5895 | 0.0791 | 0.9842 |
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+ | 0.0748 | 6.0 | 7074 | 0.0596 | 0.9875 |
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+ | 0.0705 | 7.0 | 8253 | 0.0618 | 0.9917 |
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+ | 0.052 | 8.0 | 9432 | 0.0622 | 0.9908 |
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+ | 0.0299 | 9.0 | 10611 | 0.0505 | 0.9917 |
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+ | 0.031 | 10.0 | 11790 | 0.0520 | 0.9917 |
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  ### Framework versions
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  - Transformers 4.42.0
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+ - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -16,84 +16,84 @@
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  "3": "Non-Compete",
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  "4": "Exclusivity",
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  "5": "No Solicitation",
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- "6": "Non-Disparagement",
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- "7": "Rofr/Rofo/Rofn",
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- "11": "Minimum Commitment",
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- "12": "Ip Ownership Assignment",
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- "13": "Joint Ip Ownership",
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- "14": "License Grant",
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- "15": "Post-Termination Services",
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- "16": "Audits",
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- "17": "Uncapped Liability",
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- "18": "Cap On Liability",
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- "19": "Liquidated Damages",
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- "20": "Warranty Duration",
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- "21": "Insurance",
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- "22": "Covenant Not To Sue",
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  "39": "Others"
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "3": "Non-Compete",
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  "4": "Exclusivity",
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  "5": "No Solicitation",
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+ "7": "Change Of Control",
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+ "8": "Revenue/Profit Sharing",
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+ "10": "Minimum Commitment",
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+ "11": "Ip Ownership Assignment",
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+ "12": "Joint Ip Ownership",
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+ "13": "License Grant",
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+ "14": "Post-Termination Services",
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+ "15": "Audits",
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+ "16": "Uncapped Liability",
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+ "17": "Cap On Liability",
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+ "18": "Liquidated Damages",
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+ "19": "Warranty Duration",
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+ "20": "Insurance",
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+ "21": "Covenant Not To Sue",
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+ "22": "Severability",
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+ "23": "Indemnification",
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+ "24": "Waiver",
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+ "25": "Compensation",
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+ "26": "Confidentiality",
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+ "27": "Termination",
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+ "33": "Dispute Resolution",
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+ "35": "Breach",
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  "39": "Others"
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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