judithrosell
/

PubMedBERT-ft-ner

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

judithrosell commited on Oct 10, 2023

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448d02b

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1 Parent(s): 342cdd4

Training in progress epoch 4

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README.md +4 -3
tf_model.h5 +1 -1

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@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0932
-- Validation Loss: 0.2341
-- Epoch: 3
 ## Model description
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.1725     | 0.2284          | 1     |
 | 0.1226     | 0.2174          | 2     |
 | 0.0932     | 0.2341          | 3     |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.0760
+- Validation Loss: 0.2449
+- Epoch: 4
 ## Model description
 | 0.1725     | 0.2284          | 1     |
 | 0.1226     | 0.2174          | 2     |
 | 0.0932     | 0.2341          | 3     |
+| 0.0760     | 0.2449          | 4     |
 ### Framework versions

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