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dandankim/token_classifier2

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README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0999
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- - Precision: 0.9466
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- - Recall: 0.9185
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- - F1: 0.9323
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- - Accuracy: 0.9733
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  ## Model description
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@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.6612 | 1.0 | 28 | 0.2069 | 0.9478 | 0.9407 | 0.9442 | 0.9763 |
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- | 0.1012 | 2.0 | 56 | 0.1051 | 0.9692 | 0.9333 | 0.9509 | 0.9792 |
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- | 0.0482 | 3.0 | 84 | 0.0985 | 0.9627 | 0.9556 | 0.9591 | 0.9822 |
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- | 0.0213 | 4.0 | 112 | 0.0992 | 0.9624 | 0.9481 | 0.9552 | 0.9792 |
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- | 0.0172 | 5.0 | 140 | 0.0999 | 0.9466 | 0.9185 | 0.9323 | 0.9733 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0691
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+ - Precision: 0.9524
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+ - Recall: 0.9846
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+ - F1: 0.9682
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+ - Accuracy: 0.9818
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0542 | 1.0 | 141 | 0.0766 | 0.9508 | 0.9815 | 0.9659 | 0.9807 |
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+ | 0.0776 | 2.0 | 282 | 0.0550 | 0.9595 | 0.9846 | 0.9719 | 0.9853 |
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+ | 0.063 | 3.0 | 423 | 0.0837 | 0.9481 | 0.9831 | 0.9653 | 0.9795 |
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+ | 0.0378 | 4.0 | 564 | 0.0890 | 0.9467 | 0.9846 | 0.9653 | 0.9795 |
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+ | 0.0588 | 5.0 | 705 | 0.0691 | 0.9524 | 0.9846 | 0.9682 | 0.9818 |
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  ### Framework versions
config.json CHANGED
@@ -17,8 +17,12 @@
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  "5": "B-QUOTE_TOKEN",
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  "6": "B-STOPLOSS",
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  "7": "B-TARGET_SELL_PRICE",
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- "8": "I-ENTRY_PRICE",
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- "9": "O"
 
 
 
 
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  },
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  "initializer_range": 0.02,
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  "label2id": {
@@ -30,8 +34,12 @@
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  "B-QUOTE_TOKEN": 5,
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  "B-STOPLOSS": 6,
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  "B-TARGET_SELL_PRICE": 7,
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- "I-ENTRY_PRICE": 8,
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- "O": 9
 
 
 
 
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
 
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  "5": "B-QUOTE_TOKEN",
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  "6": "B-STOPLOSS",
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  "7": "B-TARGET_SELL_PRICE",
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+ "8": "I-ACTION",
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+ "9": "I-BASE_TOKEN",
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+ "10": "I-ENTRY_PRICE",
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+ "11": "I-LEVERAGE",
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+ "12": "I-TARGET_SELL_PRICE",
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+ "13": "O"
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  },
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  "initializer_range": 0.02,
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  "label2id": {
 
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  "B-QUOTE_TOKEN": 5,
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  "B-STOPLOSS": 6,
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  "B-TARGET_SELL_PRICE": 7,
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+ "I-ACTION": 8,
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+ "I-BASE_TOKEN": 9,
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+ "I-ENTRY_PRICE": 10,
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+ "I-LEVERAGE": 11,
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+ "I-TARGET_SELL_PRICE": 12,
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+ "O": 13
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  },
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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