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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_160_splits.pt (160 samples)

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Files changed (3) hide show
  1. README.md +11 -11
  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: 0.1510
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- - Accuracy: 0.9508
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- - Precision: 0.8521
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- - Recall: 0.8278
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- - F1: 0.8391
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- - Weighted F1: 0.9506
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  ## Model description
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@@ -64,11 +64,11 @@ 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 | 20 | 0.2068 | 0.9335 | 0.8641 | 0.7475 | 0.7976 | 0.9312 |
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- | No log | 2.0 | 40 | 0.1962 | 0.939 | 0.8035 | 0.8046 | 0.8013 | 0.9382 |
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- | No log | 3.0 | 60 | 0.1965 | 0.9429 | 0.8654 | 0.7947 | 0.826 | 0.9415 |
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- | No log | 4.0 | 80 | 0.1964 | 0.9443 | 0.8279 | 0.8174 | 0.8218 | 0.9436 |
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- | No log | 5.0 | 100 | 0.2051 | 0.9438 | 0.8441 | 0.8184 | 0.8286 | 0.9435 |
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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: 0.1527
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+ - Accuracy: 0.9501
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+ - Precision: 0.8539
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+ - Recall: 0.8292
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+ - F1: 0.8405
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+ - Weighted F1: 0.95
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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 | 20 | 0.2071 | 0.9301 | 0.8427 | 0.744 | 0.7851 | 0.9282 |
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+ | No log | 2.0 | 40 | 0.1945 | 0.9378 | 0.8251 | 0.8091 | 0.8159 | 0.9368 |
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+ | No log | 3.0 | 60 | 0.1952 | 0.9403 | 0.8461 | 0.8125 | 0.828 | 0.9397 |
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+ | No log | 4.0 | 80 | 0.1981 | 0.942 | 0.8486 | 0.8211 | 0.8339 | 0.9414 |
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+ | No log | 5.0 | 100 | 0.2051 | 0.9436 | 0.8376 | 0.8228 | 0.8296 | 0.943 |
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  ### Framework versions
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