Simran KC
commited on
Commit
·
23760db
1
Parent(s):
e870017
Add model from wandb - run deep-spaceship-32
Browse files- config.json +42 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- model_architecture.txt +44 -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
config.json
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{
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"_name_or_path": "nasa-impact/nasa-smd-ibm-v0.1",
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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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"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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4
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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": "4.41.0",
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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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merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c54a9e2368fbf36107787a08d7f2f8943fc2140c5ce04b96552b826ecdc290f
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size 498622052
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model_architecture.txt
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RobertaForSequenceClassification(
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(roberta): RobertaModel(
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(embeddings): RobertaEmbeddings(
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(word_embeddings): Embedding(50265, 768, padding_idx=1)
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(position_embeddings): Embedding(514, 768, padding_idx=1)
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(token_type_embeddings): Embedding(1, 768)
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(LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
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(dropout): Dropout(p=0.1, inplace=False)
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)
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(encoder): RobertaEncoder(
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(layer): ModuleList(
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(0-11): 12 x RobertaLayer(
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(attention): RobertaAttention(
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(self): RobertaSelfAttention(
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(query): Linear(in_features=768, out_features=768, bias=True)
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(key): Linear(in_features=768, out_features=768, bias=True)
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(value): Linear(in_features=768, out_features=768, bias=True)
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(dropout): Dropout(p=0.1, inplace=False)
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)
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(output): RobertaSelfOutput(
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(dense): Linear(in_features=768, out_features=768, bias=True)
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(LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
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(dropout): Dropout(p=0.1, inplace=False)
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)
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)
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(intermediate): RobertaIntermediate(
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(dense): Linear(in_features=768, out_features=3072, bias=True)
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(intermediate_act_fn): GELUActivation()
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)
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(output): RobertaOutput(
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(dense): Linear(in_features=3072, out_features=768, bias=True)
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(LayerNorm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
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(dropout): Dropout(p=0.1, inplace=False)
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)
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)
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)
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)
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)
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(classifier): RobertaClassificationHead(
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(dense): Linear(in_features=768, out_features=768, bias=True)
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(dropout): Dropout(p=0.1, inplace=False)
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(out_proj): Linear(in_features=768, out_features=5, bias=True)
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)
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)
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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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},
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"cls_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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},
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"eos_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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},
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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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"normalized": false,
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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": false,
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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": 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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"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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"1": {
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"content": "<pad>",
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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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"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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"50264": {
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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 sha256:4b889d341dc91f04dd5979228309dc7d193954e9e40e8521606169334bf499f2
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size 5048
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vocab.json
ADDED
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