End of training
Browse files- README.md +71 -0
- config.json +67 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer_config.json +56 -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: facebook/bart-large-xsum
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: bart_samsum_finetuned_for_asr
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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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# bart_samsum_finetuned_for_asr
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4623
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- Rouge1: 54.4349
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- Rouge2: 29.4619
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- Rougel: 44.7701
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- Rougelsum: 50.2825
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- Gen Len: 30.2751
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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: 2
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- total_train_batch_size: 8
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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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| 1.3855 | 0.9997 | 1841 | 1.5274 | 52.3133 | 27.7547 | 43.0233 | 48.3891 | 30.3004 |
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| 1.0882 | 2.0 | 3683 | 1.4969 | 53.2457 | 28.4129 | 44.1196 | 49.1579 | 30.2637 |
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| 0.8376 | 2.9997 | 5524 | 1.5882 | 52.6929 | 27.5974 | 43.3339 | 47.9779 | 30.8034 |
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| 0.6756 | 4.0 | 7366 | 1.6617 | 52.5167 | 27.1278 | 43.037 | 48.1382 | 30.5299 |
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| 0.5417 | 4.9986 | 9205 | 1.8083 | 52.0696 | 26.8054 | 42.6108 | 47.5455 | 30.2894 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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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": "facebook/bart-large-xsum",
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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": "4.42.4",
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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": "4.42.4"
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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 sha256:7b5ce9c9e67ae93a3426b4805ee906b9aab4c76f1eca0d0c4d1dfdf6cde1114e
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size 1625422896
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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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"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_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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"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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"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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"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": 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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"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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"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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"model_max_length": 1024,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "BartTokenizer",
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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 sha256:1da4e1de1048c9ec39ff116d2c531b2ea158c0bc094f6de638a7b406a714abe7
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size 5304
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vocab.json
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