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Aleksandar
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bert-srb-ner-setimes

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
Aleksandar commited on
Commit
a1fed0a
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1 Parent(s): 6d89dc2

add model

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Files changed (4) hide show
  1. README.md +11 -11
  2. config.json +10 -10
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ model_index:
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  metric:
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  name: Accuracy
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  type: accuracy
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- value: 0.9566773594462266
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,11 +27,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1467
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- - Precision: 0.7672
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- - Recall: 0.8017
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- - F1: 0.7841
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- - Accuracy: 0.9567
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  ## Model description
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@@ -62,11 +62,11 @@ 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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- | No log | 1.0 | 104 | 0.2279 | 0.6652 | 0.6967 | 0.6806 | 0.9348 |
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- | No log | 2.0 | 208 | 0.1832 | 0.6984 | 0.7409 | 0.7190 | 0.9446 |
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- | No log | 3.0 | 312 | 0.1599 | 0.7525 | 0.7826 | 0.7673 | 0.9527 |
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- | No log | 4.0 | 416 | 0.1501 | 0.7664 | 0.7984 | 0.7821 | 0.9561 |
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- | 0.1992 | 5.0 | 520 | 0.1467 | 0.7672 | 0.8017 | 0.7841 | 0.9567 |
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  ### Framework versions
 
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  metric:
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  name: Accuracy
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  type: accuracy
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+ value: 0.9557318926219821
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1490
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+ - Precision: 0.7643
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+ - Recall: 0.7972
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+ - F1: 0.7804
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+ - Accuracy: 0.9557
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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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+ | No log | 1.0 | 104 | 0.2357 | 0.6485 | 0.6922 | 0.6697 | 0.9325 |
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+ | No log | 2.0 | 208 | 0.1876 | 0.7036 | 0.7440 | 0.7232 | 0.9447 |
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+ | No log | 3.0 | 312 | 0.1651 | 0.7389 | 0.7739 | 0.7560 | 0.9515 |
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+ | No log | 4.0 | 416 | 0.1530 | 0.7562 | 0.7888 | 0.7722 | 0.9544 |
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+ | 0.2044 | 5.0 | 520 | 0.1490 | 0.7643 | 0.7972 | 0.7804 | 0.9557 |
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  ### Framework versions
config.json CHANGED
@@ -9,16 +9,16 @@
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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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- "5": "LABEL_5",
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- "6": "LABEL_6",
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- "7": "LABEL_7",
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- "8": "LABEL_8",
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- "9": "LABEL_9"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
 
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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": "O",
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+ "1": "B-per",
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+ "2": "I-per",
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+ "3": "B-org",
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+ "4": "I-org",
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+ "5": "B-loc",
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+ "6": "I-loc",
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+ "7": "B-misc",
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+ "8": "I-misc",
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+ "9": "B-deriv-per"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
pytorch_model.bin CHANGED
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training_args.bin CHANGED
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