Commit
·
240b9f4
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Parent(s):
850174d
napatswift/mt5-bud-seq2seq
Browse files- README.md +60 -0
- added_tokens.json +25 -0
- config.json +62 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +112 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/flan-t5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: flan-t5-budget-seq
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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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# flan-t5-budget-seq
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0238
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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: 0.0005
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- train_batch_size: 6
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 96
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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_steps: 10
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1045 | 3.3 | 201 | 0.0238 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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added_tokens.json
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{
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"</amount>": 32100,
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"</fiscal_year>": 32101,
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"</fiscal_year_end_year>": 32102,
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"</fiscal_year_year>": 32103,
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"</line_item_amount>": 32104,
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"</line_item_bullet>": 32105,
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"</line_item_children>": 32106,
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"</line_item_fiscal_years>": 32107,
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"</line_item_name>": 32108,
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"</line_item_root>": 32109,
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"<amount>": 32110,
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"<begin>": 32111,
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"<begin_indent>": 32112,
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"<big_sep>": 32113,
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"<fiscal_year>": 32114,
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"<fiscal_year_end_year>": 32115,
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"<fiscal_year_year>": 32116,
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"<line_item_amount>": 32117,
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"<line_item_bullet>": 32118,
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"<line_item_children>": 32119,
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"<line_item_fiscal_years>": 32120,
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"<line_item_name>": 32121,
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"<line_item_root>": 32122
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}
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config.json
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{
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"_name_or_path": "google/flan-t5-base",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.33.3",
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"use_cache": true,
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"vocab_size": 32124
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.3"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9746636c9f61901a70733adb8f6087ce4df3825eaa6963811bcf6c74babf6c96
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size 990384309
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special_tokens_map.json
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{
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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size 791656
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tokenizer.json
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tokenizer_config.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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|
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|
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|
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|
10 |
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|
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|
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|
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|
14 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
38 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
100 |
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|
101 |
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"<extra_id_98>",
|
102 |
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"<extra_id_99>"
|
103 |
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],
|
104 |
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"clean_up_tokenization_spaces": true,
|
105 |
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"eos_token": "</s>",
|
106 |
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"extra_ids": 100,
|
107 |
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"model_max_length": 512,
|
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"pad_token": "<pad>",
|
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"sp_model_kwargs": {},
|
110 |
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"tokenizer_class": "T5Tokenizer",
|
111 |
+
"unk_token": "<unk>"
|
112 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec630da3b21a5ab02827b973d928dcaabb3ebdd265150398652812c6e63c0a84
|
3 |
+
size 4155
|