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dima806
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tweets-financial-classifier-distilbert

Text Classification
Transformers
PyTorch
bert
Inference Endpoints
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  1. checkpoint-12144/config.json +70 -0
  2. checkpoint-12144/optimizer.pt +3 -0
  3. checkpoint-12144/pytorch_model.bin +3 -0
  4. checkpoint-12144/rng_state.pth +3 -0
  5. checkpoint-12144/scheduler.pt +3 -0
  6. checkpoint-12144/trainer_state.json +0 -0
  7. checkpoint-12144/training_args.bin +3 -0
  8. config.json +70 -0
  9. pytorch_model.bin +3 -0
  10. training_args.bin +3 -0
  11. vocab.txt +0 -0
checkpoint-12144/config.json ADDED
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Analyst Update",
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+ "1": "Company | Product News",
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+ "2": "Currencies",
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+ "3": "Dividend",
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+ "4": "Earnings",
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+ "5": "Energy | Oil",
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+ "6": "Fed | Central Banks",
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+ "7": "Financials",
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+ "8": "General News | Opinion",
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+ "9": "Gold | Metals | Materials",
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+ "10": "IPO",
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+ "11": "Legal | Regulation",
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+ "12": "M&A | Investments",
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+ "13": "Macro",
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+ "14": "Markets",
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+ "15": "Personnel Change",
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+ "16": "Politics",
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+ "17": "Stock Commentary",
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+ "18": "Stock Movement",
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+ "19": "Treasuries | Corporate Debt"
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+ },
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+ "initializer_range": 0.02,
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+ "Treasuries | Corporate Debt": 19
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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config.json ADDED
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+ "initializer_range": 0.02,
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+ "IPO": 10,
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+ "M&A | Investments": 12,
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+ "Markets": 14,
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+ "Personnel Change": 15,
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+ "Politics": 16,
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+ "Treasuries | Corporate Debt": 19
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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