Simran KC commited on
Commit
23760db
·
1 Parent(s): e870017

Add model from wandb - run deep-spaceship-32

Browse files
config.json ADDED
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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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+ "num_hidden_layers": 12,
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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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+ }
merges.txt ADDED
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model.safetensors ADDED
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+ size 498622052
model_architecture.txt ADDED
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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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+ )
special_tokens_map.json ADDED
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+ {
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+ "bos_token": {
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "add_prefix_space": false,
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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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+ "tokenizer_class": "RobertaTokenizer",
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+ "trim_offsets": true,
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+ }
training_args.bin ADDED
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vocab.json ADDED
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