Upload 12 files
Browse filesUpload model finetuned on utg4java-220m using strategy src_fm_fc_dctx_priv
- README.md +50 -3
- added_tokens.json +8 -0
- config.json +33 -0
- generation_config.json +8 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +59 -0
- tokenizer.json +0 -0
- tokenizer_config.json +917 -0
- trainer_state.json +1603 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license:
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---
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license: bsd-3-clause
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base_model: eljavatar/pretrain_utg4java_codet5p
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tags:
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- generated_from_trainer
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model-index:
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- name: finetuning_06_utg4java_src_fm_fc_dctx_priv
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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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# finetuning_06_utg4java_src_fm_fc_dctx_priv
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This model is a fine-tuned version of [eljavatar/pretrain_utg4java_codet5p](https://huggingface.co/eljavatar/pretrain_utg4java_codet5p) on an unknown dataset.
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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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: 800
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0
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- Datasets 2.20.0
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"</ECTX>": 32103,
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"</FCTX>": 32101,
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"</PRIVATE_FCTX>": 32105,
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"<ECTX>": 32102,
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"<FCTX>": 32100,
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"<PRIVATE_FCTX>": 32104
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}
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config.json
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{
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"_name_or_path": "eljavatar/pretrain_utg4java_codet5p",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"bos_token_id": 1,
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"classifier_dropout": 0.0,
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"d_ff": 3072,
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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": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 2,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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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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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32106
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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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"bos_token_id": 1,
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"decoder_start_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b33830940ba5b94ba854ea680e2aab0f02d48a2f74f7fb73a72c8f380e1c8b9
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size 891635790
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<FCTX>",
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"</FCTX>",
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"<ECTX>",
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"</ECTX>",
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"<PRIVATE_FCTX>",
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"</PRIVATE_FCTX>"
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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.json
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tokenizer_config.json
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1 |
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2 |
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3 |
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824 |
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|
825 |
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|
826 |
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|
827 |
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},
|
828 |
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"32098": {
|
829 |
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830 |
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|
831 |
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|
832 |
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|
833 |
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|
834 |
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|
835 |
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|
836 |
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|
837 |
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|
838 |
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|
839 |
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840 |
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|
841 |
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|
842 |
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|
843 |
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|
844 |
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"32100": {
|
845 |
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"content": "<FCTX>",
|
846 |
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|
847 |
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"normalized": false,
|
848 |
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|
849 |
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|
850 |
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|
851 |
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},
|
852 |
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"32101": {
|
853 |
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"content": "</FCTX>",
|
854 |
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"lstrip": false,
|
855 |
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"normalized": false,
|
856 |
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|
857 |
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|
858 |
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|
859 |
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},
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860 |
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"32102": {
|
861 |
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"content": "<ECTX>",
|
862 |
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|
863 |
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|
864 |
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"rstrip": false,
|
865 |
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"single_word": false,
|
866 |
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"special": true
|
867 |
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},
|
868 |
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"32103": {
|
869 |
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"content": "</ECTX>",
|
870 |
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"lstrip": false,
|
871 |
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"normalized": false,
|
872 |
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"rstrip": false,
|
873 |
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"single_word": false,
|
874 |
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"special": true
|
875 |
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},
|
876 |
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"32104": {
|
877 |
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"content": "<PRIVATE_FCTX>",
|
878 |
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"lstrip": false,
|
879 |
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"normalized": false,
|
880 |
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"rstrip": false,
|
881 |
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"single_word": false,
|
882 |
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"special": true
|
883 |
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},
|
884 |
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"32105": {
|
885 |
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"content": "</PRIVATE_FCTX>",
|
886 |
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"lstrip": false,
|
887 |
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"normalized": false,
|
888 |
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"rstrip": false,
|
889 |
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"single_word": false,
|
890 |
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"special": true
|
891 |
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}
|
892 |
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},
|
893 |
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"additional_special_tokens": [
|
894 |
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"<FCTX>",
|
895 |
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"</FCTX>",
|
896 |
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"<ECTX>",
|
897 |
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"</ECTX>",
|
898 |
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"<PRIVATE_FCTX>",
|
899 |
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"</PRIVATE_FCTX>"
|
900 |
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],
|
901 |
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"bos_token": "<s>",
|
902 |
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"clean_up_tokenization_spaces": true,
|
903 |
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"cls_token": "<s>",
|
904 |
+
"eos_token": "</s>",
|
905 |
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"errors": "replace",
|
906 |
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"mask_token": "<mask>",
|
907 |
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"max_length": 512,
|
908 |
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"model_max_length": 512,
|
909 |
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"pad_token": "<pad>",
|
910 |
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"sep_token": "</s>",
|
911 |
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"stride": 0,
|
912 |
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"tokenizer_class": "RobertaTokenizer",
|
913 |
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"trim_offsets": true,
|
914 |
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"truncation_side": "right",
|
915 |
+
"truncation_strategy": "longest_first",
|
916 |
+
"unk_token": "<unk>"
|
917 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1603 @@
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