End of training
Browse files- README.md +86 -0
- config.json +67 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Nov07_22-40-15_9cc2088a9023/events.out.tfevents.1699396816.9cc2088a9023.423.0 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +61 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: alexdg19/bert_large_xsum_samsum
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tags:
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- generated_from_trainer
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datasets:
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- samsum
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metrics:
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- rouge
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model-index:
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- name: bert_large_xsum_samsum2
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: test
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.6112
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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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# bert_large_xsum_samsum2
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This model is a fine-tuned version of [alexdg19/bert_large_xsum_samsum](https://huggingface.co/alexdg19/bert_large_xsum_samsum) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1949
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- Rouge1: 0.6112
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- Rouge2: 0.3855
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- Rougel: 0.5301
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- Rougelsum: 0.5296
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- Gen Len: 30.5427
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 41 | 0.9966 | 0.6323 | 0.416 | 0.5587 | 0.5598 | 26.9573 |
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| No log | 2.0 | 82 | 1.0976 | 0.6279 | 0.413 | 0.5569 | 0.5583 | 27.8171 |
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| No log | 3.0 | 123 | 1.1576 | 0.6236 | 0.4141 | 0.553 | 0.5537 | 29.5183 |
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| No log | 4.0 | 164 | 1.1998 | 0.6148 | 0.3948 | 0.5402 | 0.541 | 30.5061 |
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| No log | 5.0 | 205 | 1.1949 | 0.6112 | 0.3855 | 0.5301 | 0.5296 | 30.5427 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "alexdg19/bert_large_xsum_samsum",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"BartForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"eos_token_ids": [
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2
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],
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_length": 62,
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"max_position_embeddings": 1024,
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"min_length": 11,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"normalize_embedding": true,
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"num_beams": 6,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"prefix": " ",
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"replacing_rate": 0,
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"scale_embedding": false,
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"static_position_embeddings": false,
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"student_decoder_layers": null,
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"student_encoder_layers": null,
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"task_specific_params": {},
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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"use_cache": true,
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"vocab_size": 50264
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}
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"max_length": 62,
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"min_length": 11,
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"no_repeat_ngram_size": 3,
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"num_beams": 6,
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"pad_token_id": 1,
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"transformers_version": "4.35.0"
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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:c8cf2d242f755a250c9aee1e1b817b006cd35ac1c186d29ebcc480c06f8e0902
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size 1625422896
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runs/Nov07_22-40-15_9cc2088a9023/events.out.tfevents.1699396816.9cc2088a9023.423.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a7ff19fee481dd5b6ed0e3f5590b6dc439088a8da5a3e6517340f84ee50db7da
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size 8279
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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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},
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"cls_token": {
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"lstrip": false,
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"rstrip": false,
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},
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"eos_token": {
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"lstrip": false,
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"normalized": true,
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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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"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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"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": false,
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"added_tokens_decoder": {
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"0": {
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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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},
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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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"special": true
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},
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"50264": {
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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_length": 128,
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"model_max_length": 1024,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"stride": 0,
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"tokenizer_class": "BartTokenizer",
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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 sha256:862f3227fcf593a0cc48e193e21315390bbdcf197ef7198f2bf538839cc23033
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size 4792
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vocab.json
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