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Dagobert42
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xlnet-base-cased-biored-augmented

Token Classification
Transformers
Safetensors
English
xlnet
low-resource NER
token_classification
biomedicine
medical NER
Generated from Trainer
Inference Endpoints
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Dagobert42 commited on
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Push ../models/xlnet/xlnet-base-cased/biored-augmentations-only/ trained on biored-train_200_splits.pt (200 samples)

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Files changed (3) hide show
  1. README.md +12 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -28,12 +28,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the bigbio/biored dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3682
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- - Accuracy: 0.8768
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- - Precision: 0.7516
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- - Recall: 0.708
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- - F1: 0.7216
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- - Weighted F1: 0.8759
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  ## Model description
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@@ -64,10 +64,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Weighted F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
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- | No log | 1.0 | 13 | 0.3964 | 0.862 | 0.7388 | 0.7335 | 0.7318 | 0.8637 |
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- | No log | 2.0 | 26 | 0.3662 | 0.8788 | 0.7771 | 0.7342 | 0.7501 | 0.8768 |
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- | No log | 3.0 | 39 | 0.3739 | 0.8843 | 0.8037 | 0.7238 | 0.7586 | 0.8809 |
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- | No log | 4.0 | 52 | 0.3813 | 0.8805 | 0.7925 | 0.7451 | 0.7634 | 0.8796 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the bigbio/biored dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3001
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+ - Accuracy: 0.904
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+ - Precision: 0.8054
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+ - Recall: 0.7645
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+ - F1: 0.782
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+ - Weighted F1: 0.9033
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Weighted F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
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+ | No log | 1.0 | 25 | 0.3323 | 0.886 | 0.8098 | 0.7466 | 0.7749 | 0.883 |
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+ | No log | 2.0 | 50 | 0.3214 | 0.8925 | 0.7932 | 0.8007 | 0.7959 | 0.8916 |
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+ | No log | 3.0 | 75 | 0.3224 | 0.8899 | 0.7877 | 0.8196 | 0.802 | 0.8918 |
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+ | No log | 4.0 | 100 | 0.3175 | 0.9016 | 0.8367 | 0.7969 | 0.8149 | 0.9005 |
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+ | No log | 5.0 | 125 | 0.3334 | 0.8978 | 0.8189 | 0.8093 | 0.8123 | 0.8985 |
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+ | No log | 6.0 | 150 | 0.3463 | 0.9029 | 0.8146 | 0.8099 | 0.812 | 0.9027 |
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  ### Framework versions
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