NHS-BiomedNLP-BiomedBERT-hypop-512

README.md

@@ -0,0 +1,68 @@
+---
+license: mit
+base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: NHS-BiomedNLP-BiomedBERT-hypop-512
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# NHS-BiomedNLP-BiomedBERT-hypop-512
+
+This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5390
+- Accuracy: 0.8120
+- Precision: 0.8119
+- Recall: 0.8028
+- F1: 0.8059
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.124         | 1.0   | 397  | 0.4029          | 0.8177   | 0.8146    | 0.8129 | 0.8137 |
+| 0.0594        | 2.0   | 794  | 0.4561          | 0.8246   | 0.8245    | 0.8161 | 0.8192 |
+| 0.1105        | 3.0   | 1191 | 0.5390          | 0.8120   | 0.8119    | 0.8028 | 0.8059 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.2+cpu
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4433f38db9a629092afe500252bbfebd664f0f563367d25006be3d5bedfbc3ce
+oid sha256:7490e66c6f559b8d2c231f7bebf3412a0ea2451592f5542bea829030942cc3b9
 size 437958648