thedavidhackett
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Commit
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Parent(s):
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End of training
Browse files- README.md +64 -0
- config.json +41 -0
- model.safetensors +3 -0
- runs/Jan09_17-34-36_5bc11644c518/events.out.tfevents.1704821710.5bc11644c518.2745.0 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +62 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: eric-mc2/distilbert-foundation-category-c6
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: distilbert-foundation-category-c6-finetune
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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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# distilbert-foundation-category-c6-finetune
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This model is a fine-tuned version of [eric-mc2/distilbert-foundation-category-c6](https://huggingface.co/eric-mc2/distilbert-foundation-category-c6) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3864
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- Accuracy: 0.915
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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: 2e-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: 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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.231 | 1.0 | 113 | 0.2673 | 0.915 |
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| 0.132 | 2.0 | 226 | 0.3310 | 0.91 |
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| 0.0894 | 3.0 | 339 | 0.3734 | 0.915 |
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| 0.0697 | 4.0 | 452 | 0.3840 | 0.915 |
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| 0.0559 | 5.0 | 565 | 0.3864 | 0.915 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "eric-mc2/distilbert-foundation-category-c6",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "Police Nonprofits",
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"1": "Private Funders",
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"2": "Police Departments",
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"3": "Other Foundations",
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"4": "Other Government",
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"5": "Unknown"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Other Foundations": 3,
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"Other Government": 4,
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"Police Departments": 2,
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"Police Nonprofits": 0,
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"Private Funders": 1,
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"Unknown": 5
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"vocab_size": 30522
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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 sha256:9d0acc120aae6aa94b1a71046ec66ba4ab860c87555d6417caa4513affa7e3cd
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size 267844872
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runs/Jan09_17-34-36_5bc11644c518/events.out.tfevents.1704821710.5bc11644c518.2745.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca446cb5437599224d1b9349fcea51e8ad23e7f2980af4c7ee1eec8c1b66d312
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size 7390
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special_tokens_map.json
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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": false,
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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": false,
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"normalized": false,
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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": false,
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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": false,
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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": false,
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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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"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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"100": {
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"content": "[UNK]",
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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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"101": {
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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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"102": {
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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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"103": {
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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,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 512,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "[SEP]",
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"stride": 0,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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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:c6c881d0c2cf1a8edde946f443eaf0df9cbcf5304c5dc3a159a99eb7431421d3
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size 4600
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vocab.txt
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