Training complete
Browse files- README.md +63 -0
- config.json +41 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +75 -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: funnel-transformer/small-base
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tags:
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- classification
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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: clasificador-rotten-tomatoes-funnel-transfomer
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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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# clasificador-rotten-tomatoes-funnel-transfomer
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This model is a fine-tuned version of [funnel-transformer/small-base](https://huggingface.co/funnel-transformer/small-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4962
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- Accuracy: 0.8856
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3.0
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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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| 0.4326 | 1.0 | 1067 | 0.4819 | 0.8471 |
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| 0.2963 | 2.0 | 2134 | 0.4710 | 0.8856 |
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| 0.1752 | 3.0 | 3201 | 0.4962 | 0.8856 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+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": "funnel-transformer/small-base",
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"activation_dropout": 0.0,
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"architectures": [
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"FunnelForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"attention_type": "relative_shift",
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"block_repeats": [
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1,
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1,
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1
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],
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"block_sizes": [
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4,
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4,
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4
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],
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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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"hidden_act": "gelu_new",
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"hidden_dropout": 0.1,
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"initializer_range": 0.1,
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"initializer_std": null,
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"layer_norm_eps": 1e-09,
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"max_position_embeddings": 512,
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"model_type": "funnel",
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"n_head": 12,
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"num_decoder_layers": 2,
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"pool_q_only": true,
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"pooling_type": "mean",
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"problem_type": "single_label_classification",
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"rel_attn_type": "factorized",
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"separate_cls": true,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"truncate_seq": true,
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"type_vocab_size": 3,
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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 sha256:3e1e430dd609efe8365e76a0364b27e28678d5c2fefe36d85e97c23668b24601
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size 464844376
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special_tokens_map.json
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{
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"bos_token": {
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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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},
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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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"eos_token": {
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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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},
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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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"96": {
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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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"97": {
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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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"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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"bos_token": "<s>",
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"clean_text": true,
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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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"eos_token": "</s>",
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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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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "FunnelTokenizer",
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"unk_token": "<unk>",
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"wordpieces_prefix": "##"
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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 sha256:3ce71bd7e4e2e8fd0a951309e3e859fa0946451748ce3090024a74ef0714a82f
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size 4984
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vocab.txt
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