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VampeeHuntee
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xlm-roberta-base_detect_span

Token Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
Generated from Trainer
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End of training

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  1. README.md +11 -20
  2. config.json +4 -40
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,19 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0807
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- - Patient Id: 0.9855
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- - Name: 0.9337
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- - Gender: 0.9714
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- - Age: 0.9834
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- - Job: 0.8092
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- - Location: 0.9596
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- - Organization: 0.8897
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- - Date: 0.9860
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- - Symptom And Disease: 0.8885
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- - Transportation: 1.0
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- - F1 Macro: 0.9407
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- - F1 Micro: 0.9541
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  ## Model description
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@@ -58,13 +49,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Patient Id | Name | Gender | Age | Job | Location | Organization | Date | Symptom And Disease | Transportation | F1 Macro | F1 Micro |
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- |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:------:|:------:|:------:|:--------:|:------------:|:------:|:-------------------:|:--------------:|:--------:|:--------:|
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- | 0.216 | 1.0 | 629 | 0.0912 | 0.9477 | 0.9143 | 0.8367 | 0.9237 | 0.6228 | 0.9426 | 0.8234 | 0.9811 | 0.8603 | 0.9827 | 0.8835 | 0.9202 |
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- | 0.0478 | 2.0 | 1258 | 0.0832 | 0.9860 | 0.8942 | 0.9414 | 0.9741 | 0.5368 | 0.9434 | 0.8584 | 0.9811 | 0.8722 | 0.9829 | 0.8970 | 0.9369 |
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- | 0.0306 | 3.0 | 1887 | 0.0744 | 0.9867 | 0.9206 | 0.9494 | 0.9780 | 0.7664 | 0.9550 | 0.8913 | 0.9860 | 0.8791 | 0.9829 | 0.9295 | 0.9492 |
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- | 0.0211 | 4.0 | 2516 | 0.0789 | 0.9863 | 0.9309 | 0.9661 | 0.9793 | 0.7795 | 0.9549 | 0.8859 | 0.9860 | 0.8844 | 1.0 | 0.9353 | 0.9508 |
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- | 0.0153 | 5.0 | 3145 | 0.0807 | 0.9855 | 0.9337 | 0.9714 | 0.9834 | 0.8092 | 0.9596 | 0.8897 | 0.9860 | 0.8885 | 1.0 | 0.9407 | 0.9541 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0709
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+ - X: 0.9587
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+ - F1 Macro: 0.9587
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+ - F1 Micro: 0.9587
 
 
 
 
 
 
 
 
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | X | F1 Macro | F1 Micro |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:--------:|
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+ | 0.0949 | 1.0 | 629 | 0.0695 | 0.9338 | 0.9338 | 0.9338 |
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+ | 0.0303 | 2.0 | 1258 | 0.0620 | 0.9500 | 0.9500 | 0.9500 |
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+ | 0.0199 | 3.0 | 1887 | 0.0648 | 0.9570 | 0.9570 | 0.9570 |
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+ | 0.0129 | 4.0 | 2516 | 0.0644 | 0.9584 | 0.9584 | 0.9584 |
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+ | 0.0097 | 5.0 | 3145 | 0.0709 | 0.9587 | 0.9587 | 0.9587 |
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  ### Framework versions
config.json CHANGED
@@ -12,50 +12,14 @@
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  "hidden_size": 768,
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  "id2label": {
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  "0": "O",
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- "1": "B-PATIENT_ID",
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- "2": "I-PATIENT_ID",
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- "3": "B-NAME",
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- "4": "I-NAME",
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- "5": "B-GENDER",
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- "6": "I-GENDER",
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- "7": "B-AGE",
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- "8": "I-AGE",
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- "9": "B-JOB",
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- "10": "I-JOB",
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- "11": "B-LOCATION",
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- "12": "I-LOCATION",
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- "13": "B-ORGANIZATION",
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- "14": "I-ORGANIZATION",
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- "15": "B-DATE",
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- "16": "I-DATE",
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- "17": "B-SYMPTOM_AND_DISEASE",
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- "18": "I-SYMPTOM_AND_DISEASE",
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- "19": "B-TRANSPORTATION",
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- "20": "I-TRANSPORTATION"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "B-AGE": 7,
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- "B-DATE": 15,
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- "B-GENDER": 5,
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- "B-JOB": 9,
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- "B-LOCATION": 11,
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- "B-NAME": 3,
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- "B-ORGANIZATION": 13,
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- "B-PATIENT_ID": 1,
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- "B-SYMPTOM_AND_DISEASE": 17,
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- "B-TRANSPORTATION": 19,
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- "I-AGE": 8,
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- "I-DATE": 16,
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- "I-GENDER": 6,
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- "I-JOB": 10,
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- "I-LOCATION": 12,
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- "I-NAME": 4,
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- "I-ORGANIZATION": 14,
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- "I-PATIENT_ID": 2,
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- "I-SYMPTOM_AND_DISEASE": 18,
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- "I-TRANSPORTATION": 20,
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  "O": 0
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  },
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  "layer_norm_eps": 1e-05,
 
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  "hidden_size": 768,
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  "id2label": {
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  "0": "O",
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+ "1": "B-X",
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+ "2": "I-X"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "B-X": 1,
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+ "I-X": 2,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "O": 0
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  },
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  "layer_norm_eps": 1e-05,
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