adriansanz
commited on
Commit
•
3147d3d
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Parent(s):
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End of training
Browse files- README.md +89 -0
- config.json +40 -0
- logs/events.out.tfevents.1717145900.f17a8cbca9b8.406.0 +3 -0
- logs/events.out.tfevents.1717147041.f17a8cbca9b8.406.1 +3 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: projecte-aina/roberta-base-ca-v2-cased-te
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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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- precision
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- recall
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- f1
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model-index:
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- name: SYN_300524_epoch_1
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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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# SYN_300524_epoch_1
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This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3748
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- Accuracy: 0.961
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- Precision: 0.9615
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- Recall: 0.961
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- F1: 0.9610
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- Ratio: 0.483
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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: 47
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_ratio: 0.06
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- lr_scheduler_warmup_steps: 4
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- num_epochs: 1
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----:|
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| 2.9367 | 0.0533 | 10 | 1.4668 | 0.65 | 0.7117 | 0.65 | 0.6225 | 0.77 |
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| 1.1009 | 0.1067 | 20 | 0.6674 | 0.856 | 0.8560 | 0.856 | 0.8560 | 0.502 |
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| 0.6993 | 0.16 | 30 | 0.5583 | 0.908 | 0.9095 | 0.9080 | 0.9079 | 0.53 |
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| 0.6377 | 0.2133 | 40 | 0.4923 | 0.934 | 0.9343 | 0.9340 | 0.9340 | 0.486 |
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| 0.5192 | 0.2667 | 50 | 0.4930 | 0.926 | 0.9282 | 0.9260 | 0.9259 | 0.464 |
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| 0.5189 | 0.32 | 60 | 0.4687 | 0.937 | 0.9383 | 0.937 | 0.9370 | 0.527 |
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| 0.5083 | 0.3733 | 70 | 0.4321 | 0.944 | 0.9445 | 0.944 | 0.9440 | 0.484 |
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| 0.4645 | 0.4267 | 80 | 0.4026 | 0.949 | 0.9490 | 0.949 | 0.9490 | 0.495 |
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| 0.4268 | 0.48 | 90 | 0.3990 | 0.949 | 0.9498 | 0.9490 | 0.9490 | 0.479 |
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| 0.4327 | 0.5333 | 100 | 0.3949 | 0.952 | 0.9524 | 0.952 | 0.9520 | 0.486 |
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| 0.4283 | 0.5867 | 110 | 0.3894 | 0.954 | 0.9540 | 0.954 | 0.9540 | 0.496 |
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| 0.4263 | 0.64 | 120 | 0.3829 | 0.957 | 0.9572 | 0.957 | 0.9570 | 0.489 |
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| 0.4205 | 0.6933 | 130 | 0.3800 | 0.962 | 0.9620 | 0.962 | 0.9620 | 0.496 |
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| 0.4291 | 0.7467 | 140 | 0.3760 | 0.962 | 0.9620 | 0.962 | 0.9620 | 0.502 |
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| 0.4124 | 0.8 | 150 | 0.3723 | 0.964 | 0.9641 | 0.964 | 0.9640 | 0.494 |
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| 0.4142 | 0.8533 | 160 | 0.3720 | 0.964 | 0.9641 | 0.964 | 0.9640 | 0.492 |
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| 0.4209 | 0.9067 | 170 | 0.3767 | 0.96 | 0.9605 | 0.96 | 0.9600 | 0.484 |
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| 0.3908 | 0.96 | 180 | 0.3748 | 0.96 | 0.9605 | 0.96 | 0.9600 | 0.484 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "projecte-aina/roberta-base-ca-v2-cased-te",
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"architectures": [
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"RobertaForSequenceClassification"
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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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"finetuning_task": "mnli",
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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": "ENTAILMENT",
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"1": "NEUTRAL",
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"2": "CONTRADICTION"
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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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"CONTRADICTION": 2,
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"ENTAILMENT": 0,
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"NEUTRAL": 1
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.41.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50262
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}
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logs/events.out.tfevents.1717145900.f17a8cbca9b8.406.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:21126c59cc963aa362b60e302e0545c840a69871809dcbb4854dc23a80c4dd86
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size 18694
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logs/events.out.tfevents.1717147041.f17a8cbca9b8.406.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:116ceb9c1ba512bb83961ae9120250dfa19918581533e222e1651c33f43fcc5e
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size 609
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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:c3bc324e4f5ca224162446d2eb52d455e5a8bca53b126f56ad7b84a52165da06
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size 498606684
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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": 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": "<s>",
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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": "</s>",
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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": "</s>",
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"lstrip": 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": 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": "<s>",
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"lstrip": false,
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"normalized": true,
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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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},
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"2": {
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"content": "</s>",
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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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"4": {
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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": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"max_len": 512,
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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": "</s>",
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"stride": 0,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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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:bf7ae9f8857429ae93be07e9caf8951adc73fa865f17979220b29034126dfd6a
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size 5112
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vocab.json
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