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yonichi
/
cbert

Text Classification
Transformers
PyTorch
bert
custom_code
Inference Endpoints
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1
cbert
File size: 1,221 Bytes 
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{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "configuration_cbert.BertCustomConfig",
    "AutoModelForSequenceClassification": "model_cbert.BertSentiment"
  },
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "hyperparams": {
    "batch_size": 32,
    "lr_bert": 1.3381477872420105e-05,
    "lr_dense": 1.1619234627185892e-05,
    "max_length": 512,
    "model_name": "Transformer",
    "n_epochs": 50,
    "num_labels": 3,
    "w_decay": 0.15190379301303872,
    "warmup": 0.017012007455465432
  },
  "id2label": {
    "0": "Neutral",
    "1": "Hawkish",
    "2": "Dovish"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "negative": 2,
    "neutral": 0,
    "positive": 1
  },
  "layer_norm_eps": 1e-12,
  "max_length": 512,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.17.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30873
}