End of training
Browse files- README.md +79 -0
- config.json +57 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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license: cc-by-nc-sa-4.0
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base_model: ufal/robeczech-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: robeczech_lr3e-05_bs16_train287
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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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# robeczech_lr3e-05_bs16_train287
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This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robeczech-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1813
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- Precision: 0.9550
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- Recall: 0.9585
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- F1: 0.9568
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- Accuracy: 0.9738
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 18 | 1.3032 | 0.7333 | 0.0212 | 0.0413 | 0.5756 |
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| No log | 2.0 | 36 | 0.8161 | 0.6145 | 0.6089 | 0.6117 | 0.8190 |
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| No log | 3.0 | 54 | 0.5267 | 0.8108 | 0.8006 | 0.8056 | 0.9056 |
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| No log | 4.0 | 72 | 0.3785 | 0.8914 | 0.8914 | 0.8914 | 0.9452 |
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| No log | 5.0 | 90 | 0.3145 | 0.8993 | 0.8972 | 0.8982 | 0.9491 |
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| No log | 6.0 | 108 | 0.2826 | 0.8949 | 0.9000 | 0.8974 | 0.9485 |
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| No log | 7.0 | 126 | 0.2498 | 0.9167 | 0.9247 | 0.9207 | 0.9586 |
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| No log | 8.0 | 144 | 0.2291 | 0.9320 | 0.9392 | 0.9355 | 0.9657 |
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| No log | 9.0 | 162 | 0.2151 | 0.9406 | 0.9411 | 0.9409 | 0.9682 |
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| No log | 10.0 | 180 | 0.1960 | 0.9453 | 0.9512 | 0.9483 | 0.9715 |
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| No log | 11.0 | 198 | 0.1930 | 0.9488 | 0.9488 | 0.9488 | 0.9720 |
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| No log | 12.0 | 216 | 0.1953 | 0.9429 | 0.9411 | 0.9420 | 0.9682 |
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| No log | 13.0 | 234 | 0.1887 | 0.9491 | 0.9445 | 0.9468 | 0.9707 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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config.json
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{
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"architectures": [
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"RobertaForTokenClassification"
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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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"gradient_checkpointing": false,
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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-key",
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"2": "B-information",
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"3": "B-name",
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"4": "B-rank",
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"5": "B-birth_date",
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"6": "B-nationality",
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"7": "B-death_date",
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"8": "B-funeral_date",
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"9": "B-grave_location",
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"10": "B-grave_id",
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"11": "B-information_source",
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"12": "B-death_book"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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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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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 51997
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb523af0d7d573b81aed8008f2186f52c560229f8e1c23903531cb90ea9c117c
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size 501604780
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special_tokens_map.json
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{
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"bos_token": {
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"content": "[CLS]",
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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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"cls_token": {
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"content": "[CLS]",
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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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"eos_token": {
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"content": "[SEP]",
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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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"mask_token": {
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"content": "[MASK]",
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"lstrip": true,
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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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"pad_token": {
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"content": "[PAD]",
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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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"sep_token": {
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"content": "[SEP]",
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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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"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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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "[CLS]",
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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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"1": {
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"content": "[PAD]",
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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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"2": {
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"content": "[SEP]",
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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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"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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"51960": {
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"content": "[MASK]",
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"lstrip": true,
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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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},
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"errors": "replace",
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e28880853902d0791e9a66c238de1da453c91eb4b95c765c0fd36a364e921ac4
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size 5368
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vocab.json
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