Adzka/reward-model-distilbert
Browse files- README.md +63 -0
- config.json +39 -0
- emissions.csv +2 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Jul01_23-54-28_DESKTOP-HH0RPGN/events.out.tfevents.1719852874.DESKTOP-HH0RPGN.3144.0 +3 -0
- runs/Jul02_00-06-06_DESKTOP-HH0RPGN/events.out.tfevents.1719853572.DESKTOP-HH0RPGN.10384.0 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -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: w11wo/indonesian-roberta-base-sentiment-classifier
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test-reward-model
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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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# test-reward-model
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6974
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- Accuracy: 0.7368
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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: 8
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- eval_batch_size: 8
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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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5895 | 1.25 | 50 | 0.6307 | 0.6842 |
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| 0.3559 | 2.5 | 100 | 0.6381 | 0.7105 |
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| 0.1523 | 3.75 | 150 | 0.6340 | 0.7105 |
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| 0.0694 | 5.0 | 200 | 0.6974 | 0.7368 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "w11wo/indonesian-roberta-base-sentiment-classifier",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "positive",
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"1": "neutral",
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"2": "negative"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"negative": 2,
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"neutral": 1,
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"positive": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-07-02T00:11:50,codecarbon,e6298b50-8854-4fb6-a92d-43999c4601c4,338.201961517334,0.010694947656611987,3.1622961642887557e-05,42.5,108.43,11.946327209472656,0.003992266833119922,0.012046153513913619,0.0011206903215284546,0.017159110668561992,Indonesia,IDN,west java,,,Windows-10-10.0.19045-SP0,3.11.5,2.2.3,8,12th Gen Intel(R) Core(TM) i3-12100F,1,1 x NVIDIA GeForce RTX 3060,107.6071,-6.9217,31.85687255859375,machine,N,1.0
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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:a8aa724f42799c8235ac65411e2cd383b225fa2c7d71dd13060f3766ce2b58bf
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size 498615900
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runs/Jul01_23-54-28_DESKTOP-HH0RPGN/events.out.tfevents.1719852874.DESKTOP-HH0RPGN.3144.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:40b82bd99e873c439dcea4fd0734ae1068096eec6a88503631694bccd45a02a5
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size 6495
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runs/Jul02_00-06-06_DESKTOP-HH0RPGN/events.out.tfevents.1719853572.DESKTOP-HH0RPGN.10384.0
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version https://git-lfs.github.com/spec/v1
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size 7383
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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": false,
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"rstrip": false,
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"single_word": false
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"cls_token": {
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"eos_token": {
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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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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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": 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": false,
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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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"content": "<s>",
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"lstrip": false,
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"rstrip": 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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"normalized": false,
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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": false,
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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": false,
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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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"4": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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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": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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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:d0a0b921d70ad183817a2957b4977890a97177522e7c26660841711f33040833
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size 4920
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vocab.json
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