End of training
Browse files- .gitattributes +1 -0
- README.md +60 -1
- config.json +58 -0
- generation_config.json +11 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +63 -0
- tokenizer.json +3 -0
- tokenizer_config.json +77 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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-
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---
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---
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+
base_model: facebook/mbart-large-50-many-to-many-mmt
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: mbart-translation-en2vi
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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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# mbart-translation-en2vi
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6752
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- Bleu: 55.2256
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- Gen Len: 11.9724
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 127 | 0.6752 | 55.2256 | 11.9724 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "facebook/mbart-large-50-many-to-many-mmt",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"add_bias_logits": false,
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"add_final_layer_norm": true,
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"architectures": [
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"MBartForConditionalGeneration"
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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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"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": 200,
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"max_position_embeddings": 1024,
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"model_type": "mbart",
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"normalize_before": true,
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"normalize_embedding": true,
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"num_beams": 5,
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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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"scale_embedding": true,
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"static_position_embeddings": false,
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"tokenizer_class": "MBart50Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.33.0",
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"use_cache": true,
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"vocab_size": 250054
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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": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.33.0"
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}
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:effac9d3b1a32124b3c7c498cc3b55068b11e2c26d58bb7461740c42da99ea3b
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size 2444694045
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ",
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"de_DE",
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"en_XX",
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"es_XX",
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"et_EE",
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"fi_FI",
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"fr_XX",
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"gu_IN",
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"hi_IN",
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"it_IT",
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"ja_XX",
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"kk_KZ",
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"ko_KR",
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"lt_LT",
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"lv_LV",
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"my_MM",
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"ne_NP",
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"nl_XX",
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"ro_RO",
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"ru_RU",
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"si_LK",
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"tr_TR",
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"vi_VN",
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"zh_CN",
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"af_ZA",
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"az_AZ",
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"bn_IN",
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"fa_IR",
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"he_IL",
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"hr_HR",
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"id_ID",
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"ka_GE",
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"km_KH",
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"mk_MK",
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"ml_IN",
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"mn_MN",
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"mr_IN",
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"pl_PL",
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"ps_AF",
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"pt_XX",
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"sv_SE",
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"sw_KE",
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"ta_IN",
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"te_IN",
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"th_TH",
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"tl_XX",
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"uk_UA",
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"ur_PK",
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"xh_ZA",
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"gl_ES",
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"sl_SI"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 17109752
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tokenizer_config.json
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ",
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5 |
+
"de_DE",
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6 |
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"en_XX",
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"es_XX",
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"et_EE",
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"fi_FI",
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"fr_XX",
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"gu_IN",
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"hi_IN",
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"it_IT",
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"ja_XX",
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"kk_KZ",
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"ko_KR",
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"lt_LT",
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"lv_LV",
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"my_MM",
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"ne_NP",
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"nl_XX",
|
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"ro_RO",
|
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"ru_RU",
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24 |
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"si_LK",
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"tr_TR",
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26 |
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"vi_VN",
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"zh_CN",
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"af_ZA",
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"az_AZ",
|
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"bn_IN",
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"fa_IR",
|
32 |
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"he_IL",
|
33 |
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"hr_HR",
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34 |
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"id_ID",
|
35 |
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"ka_GE",
|
36 |
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"km_KH",
|
37 |
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"mk_MK",
|
38 |
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"ml_IN",
|
39 |
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"mn_MN",
|
40 |
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"mr_IN",
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+
"pl_PL",
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+
"ps_AF",
|
43 |
+
"pt_XX",
|
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"sv_SE",
|
45 |
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"sw_KE",
|
46 |
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"ta_IN",
|
47 |
+
"te_IN",
|
48 |
+
"th_TH",
|
49 |
+
"tl_XX",
|
50 |
+
"uk_UA",
|
51 |
+
"ur_PK",
|
52 |
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"xh_ZA",
|
53 |
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"gl_ES",
|
54 |
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"sl_SI"
|
55 |
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],
|
56 |
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"bos_token": "<s>",
|
57 |
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"clean_up_tokenization_spaces": true,
|
58 |
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"cls_token": "<s>",
|
59 |
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"eos_token": "</s>",
|
60 |
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"language_codes": "ML50",
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61 |
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"mask_token": {
|
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"__type": "AddedToken",
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63 |
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"content": "<mask>",
|
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"lstrip": true,
|
65 |
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"normalized": true,
|
66 |
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"rstrip": false,
|
67 |
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"single_word": false
|
68 |
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},
|
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"model_max_length": 1000000000000000019884624838656,
|
70 |
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"pad_token": "<pad>",
|
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"sep_token": "</s>",
|
72 |
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"sp_model_kwargs": {},
|
73 |
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"src_lang": null,
|
74 |
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"tgt_lang": null,
|
75 |
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"tokenizer_class": "MBart50Tokenizer",
|
76 |
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"unk_token": "<unk>"
|
77 |
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}
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training_args.bin
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|
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:6dd6e9ea7357fa63db0bacf5e28fd285bd727df9c09eca47c1db6eaa39a78e6c
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size 4155
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