prinsINT/deberta-v3-base-uner-down-synth400
Browse files- README.md +103 -0
- added_tokens.json +3 -0
- config.json +56 -0
- model.safetensors +3 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +60 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: microsoft/deberta-v3-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- precision
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- recall
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- accuracy
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model-index:
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- name: deberta-v3-base-uner-down-synth400
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results: []
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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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# deberta-v3-base-uner-down-synth400
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1225
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- F1: 0.7274
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- Precision: 0.6706
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- Recall: 0.7946
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- Accuracy: 0.9784
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2.5e-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
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| 0.3736 | 0.8 | 20 | 0.2035 | 0.0482 | 0.1176 | 0.0303 | 0.9431 |
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| 0.2416 | 1.6 | 40 | 0.1315 | 0.3044 | 0.2724 | 0.3449 | 0.9559 |
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| 0.0684 | 2.4 | 60 | 0.1027 | 0.4766 | 0.4303 | 0.5341 | 0.9668 |
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| 0.0588 | 3.2 | 80 | 0.0881 | 0.6067 | 0.5490 | 0.6778 | 0.9733 |
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| 0.1194 | 4.0 | 100 | 0.0851 | 0.6805 | 0.6521 | 0.7114 | 0.9766 |
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| 0.014 | 4.8 | 120 | 0.0800 | 0.7078 | 0.6512 | 0.7751 | 0.9769 |
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| 0.0572 | 5.6 | 140 | 0.0815 | 0.7228 | 0.6882 | 0.7611 | 0.9788 |
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| 0.0059 | 6.4 | 160 | 0.0910 | 0.7016 | 0.6408 | 0.7751 | 0.9767 |
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| 0.0079 | 7.2 | 180 | 0.0946 | 0.6864 | 0.6237 | 0.7632 | 0.9760 |
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| 0.0152 | 8.0 | 200 | 0.0981 | 0.7107 | 0.6494 | 0.7849 | 0.9760 |
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| 0.0169 | 8.8 | 220 | 0.0954 | 0.702 | 0.6530 | 0.7589 | 0.9771 |
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| 0.0027 | 9.6 | 240 | 0.0983 | 0.7214 | 0.6984 | 0.7459 | 0.9775 |
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| 0.0107 | 10.4 | 260 | 0.1050 | 0.7141 | 0.6544 | 0.7859 | 0.9773 |
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| 0.0029 | 11.2 | 280 | 0.1072 | 0.7139 | 0.6555 | 0.7838 | 0.9773 |
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| 0.0056 | 12.0 | 300 | 0.1075 | 0.7216 | 0.6670 | 0.7859 | 0.9777 |
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| 0.0048 | 12.8 | 320 | 0.1109 | 0.7245 | 0.6628 | 0.7989 | 0.9775 |
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| 0.0033 | 13.6 | 340 | 0.1133 | 0.7242 | 0.6691 | 0.7892 | 0.9773 |
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| 0.0021 | 14.4 | 360 | 0.1098 | 0.7247 | 0.6916 | 0.7611 | 0.9784 |
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| 0.0057 | 15.2 | 380 | 0.1131 | 0.7223 | 0.6652 | 0.7903 | 0.9779 |
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| 0.0014 | 16.0 | 400 | 0.1113 | 0.7319 | 0.6889 | 0.7805 | 0.9789 |
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| 0.0098 | 16.8 | 420 | 0.1140 | 0.7207 | 0.6670 | 0.7838 | 0.9778 |
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| 0.0019 | 17.6 | 440 | 0.1162 | 0.7177 | 0.6612 | 0.7849 | 0.9778 |
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| 0.001 | 18.4 | 460 | 0.1194 | 0.7259 | 0.6682 | 0.7946 | 0.9780 |
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| 0.0009 | 19.2 | 480 | 0.1174 | 0.7307 | 0.6860 | 0.7816 | 0.9784 |
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| 0.001 | 20.0 | 500 | 0.1219 | 0.7267 | 0.6673 | 0.7978 | 0.9779 |
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| 0.0016 | 20.8 | 520 | 0.1183 | 0.7312 | 0.6819 | 0.7881 | 0.9784 |
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| 0.001 | 21.6 | 540 | 0.1187 | 0.7306 | 0.6850 | 0.7827 | 0.9784 |
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| 0.0012 | 22.4 | 560 | 0.1227 | 0.7323 | 0.6752 | 0.8 | 0.9784 |
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| 0.0011 | 23.2 | 580 | 0.1218 | 0.7212 | 0.6624 | 0.7914 | 0.9777 |
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| 0.0012 | 24.0 | 600 | 0.1217 | 0.7243 | 0.6700 | 0.7881 | 0.9780 |
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| 0.0006 | 24.8 | 620 | 0.1217 | 0.7296 | 0.6807 | 0.7859 | 0.9784 |
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| 0.0006 | 25.6 | 640 | 0.1233 | 0.7272 | 0.6688 | 0.7968 | 0.9782 |
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| 0.001 | 26.4 | 660 | 0.1206 | 0.7305 | 0.6807 | 0.7881 | 0.9787 |
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| 0.0005 | 27.2 | 680 | 0.1207 | 0.7329 | 0.6842 | 0.7892 | 0.9786 |
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| 0.0012 | 28.0 | 700 | 0.1211 | 0.7318 | 0.6822 | 0.7892 | 0.9786 |
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| 0.0017 | 28.8 | 720 | 0.1225 | 0.7274 | 0.6706 | 0.7946 | 0.9784 |
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| 0.001 | 29.6 | 740 | 0.1225 | 0.7274 | 0.6706 | 0.7946 | 0.9784 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu128
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- Datasets 4.3.0
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- Tokenizers 0.22.1
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added_tokens.json
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{
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"[MASK]": 128000
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}
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config.json
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{
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 1,
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"dtype": "float32",
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"eos_token_id": 2,
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"finetuning_task": "ner",
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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-PER",
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"2": "I-PER",
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"3": "B-ORG",
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"4": "I-ORG",
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"5": "B-LOC",
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"6": "I-LOC"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-LOC": 5,
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"B-ORG": 3,
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"B-PER": 1,
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"I-LOC": 6,
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"I-ORG": 4,
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"I-PER": 2,
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"O": 0
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},
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"layer_norm_eps": 1e-07,
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"legacy": true,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"transformers_version": "4.57.1",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0af443f0841d70bf9cd40f7f5b828f46cc214b93860b461d4038593f8db6a45f
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size 735372116
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"128000": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "[CLS]",
|
| 46 |
+
"clean_up_tokenization_spaces": false,
|
| 47 |
+
"cls_token": "[CLS]",
|
| 48 |
+
"do_lower_case": false,
|
| 49 |
+
"eos_token": "[SEP]",
|
| 50 |
+
"extra_special_tokens": {},
|
| 51 |
+
"mask_token": "[MASK]",
|
| 52 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 53 |
+
"pad_token": "[PAD]",
|
| 54 |
+
"sep_token": "[SEP]",
|
| 55 |
+
"sp_model_kwargs": {},
|
| 56 |
+
"split_by_punct": false,
|
| 57 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 58 |
+
"unk_token": "[UNK]",
|
| 59 |
+
"vocab_type": "spm"
|
| 60 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c2279ab3341eeaa63af0d884b868caa31d3ba38c5f58976ca001a7934eac1ed
|
| 3 |
+
size 5841
|