Commit
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1af233e
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Parent(s):
73610c4
End of training
Browse files- README.md +70 -0
- config.json +112 -0
- model.safetensors +3 -0
- runs/Apr13_03-31-16_5bd0ca79381f/events.out.tfevents.1712979077.5bd0ca79381f.453.0 +3 -0
- special_tokens_map.json +19 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +93 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: xlnet/xlnet-base-cased
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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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- f1
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- precision
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- recall
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model-index:
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- name: emotional-xlnet
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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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# emotional-xlnet
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This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9968
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- Accuracy: 0.3875
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- F1: 0.3676
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- Precision: 0.3990
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- Recall: 0.3875
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 2.4746 | 1.0 | 270 | 2.3530 | 0.3085 | 0.2878 | 0.4138 | 0.3085 |
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| 0.8581 | 2.0 | 540 | 2.1600 | 0.3466 | 0.3310 | 0.3603 | 0.3466 |
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| 0.2628 | 3.0 | 810 | 2.3594 | 0.3575 | 0.3519 | 0.4060 | 0.3575 |
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| 0.0791 | 4.0 | 1080 | 2.7493 | 0.3793 | 0.3643 | 0.3901 | 0.3793 |
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| 0.0292 | 5.0 | 1350 | 2.9968 | 0.3875 | 0.3676 | 0.3990 | 0.3875 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "xlnet/xlnet-base-cased",
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"architectures": [
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"XLNetForSequenceClassification"
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],
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"attn_type": "bi",
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"bi_data": false,
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"bos_token_id": 1,
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"clamp_len": -1,
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"d_head": 64,
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"d_inner": 3072,
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"d_model": 768,
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"dropout": 0.1,
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"end_n_top": 5,
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"eos_token_id": 2,
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"ff_activation": "gelu",
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"id2label": {
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"0": "serenity",
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"1": "joy",
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"10": "terror",
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"11": "awe",
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"12": "distraction",
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"13": "surprise",
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"14": "amazement",
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"15": "disapproval",
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"16": "pensiveness",
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"17": "sadness",
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"18": "grief",
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"19": "remorse",
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"2": "ecstasy",
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"20": "boredom",
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"21": "disgust",
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"22": "loathing",
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"23": "contempt",
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"24": "annoyance",
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"25": "anger",
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"26": "rage",
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"27": "aggressiveness",
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"28": "interest",
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"29": "anticipation",
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"3": "love",
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"30": "vigilance",
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"31": "optimism",
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"4": "acceptance",
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"5": "trust",
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"6": "admiration",
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"7": "submission",
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"8": "apprehension",
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"9": "fear"
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},
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"initializer_range": 0.02,
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"label2id": {
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"acceptance": 4,
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"admiration": 6,
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"aggressiveness": 27,
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"amazement": 14,
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"anger": 25,
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"annoyance": 24,
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"anticipation": 29,
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"apprehension": 8,
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"awe": 11,
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"boredom": 20,
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"contempt": 23,
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"disapproval": 15,
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"disgust": 21,
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"distraction": 12,
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"ecstasy": 2,
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"fear": 9,
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"grief": 18,
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"interest": 28,
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"joy": 1,
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"loathing": 22,
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"love": 3,
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"optimism": 31,
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"pensiveness": 16,
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"rage": 26,
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"remorse": 19,
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"sadness": 17,
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"serenity": 0,
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"submission": 7,
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"surprise": 13,
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"terror": 10,
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"trust": 5,
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"vigilance": 30
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},
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"layer_norm_eps": 1e-12,
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"mem_len": null,
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"model_type": "xlnet",
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"n_head": 12,
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"n_layer": 12,
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"pad_token_id": 5,
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"problem_type": "single_label_classification",
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"reuse_len": null,
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"same_length": false,
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"start_n_top": 5,
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"summary_activation": "tanh",
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"summary_last_dropout": 0.1,
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"summary_type": "last",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 250
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"untie_r": true,
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"use_mems_eval": true,
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"use_mems_train": false,
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"vocab_size": 32000
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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 sha256:029dd9e5624c6093f3890bbc8ed1f40bbf23d03f659256995e91d81d9d5858c3
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size 469356888
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runs/Apr13_03-31-16_5bd0ca79381f/events.out.tfevents.1712979077.5bd0ca79381f.453.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:79e49c47d071327279f2a5c6a8debeccd2bf63396a6f45ac5ef08f42e5362e72
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size 9972
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<eop>",
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"<eod>"
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],
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"bos_token": "<s>",
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"cls_token": "<cls>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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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": "<pad>",
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"sep_token": "<sep>",
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"unk_token": "<unk>"
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f8c1c0bc2854d1af911a8550288c1258af5ba50277f3a5c829b98eb86fc5646
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size 798011
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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": "<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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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": 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": "</s>",
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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": "<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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"4": {
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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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"5": {
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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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"6": {
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"content": "<mask>",
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"lstrip": true,
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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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"7": {
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"content": "<eod>",
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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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"8": {
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"content": "<eop>",
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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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"additional_special_tokens": [
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"<eop>",
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"<eod>"
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],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<cls>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"keep_accents": false,
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"remove_space": true,
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"sep_token": "<sep>",
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"tokenizer_class": "XLNetTokenizer",
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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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