End of training

README.md

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+---
+license: cc0-1.0
+base_model: bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BlueBERT_JNLPBA_NER
+  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. -->
+
+# BlueBERT_JNLPBA_NER
+
+This model is a fine-tuned version of [bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1586
+- Precision: 0.8051
+- Recall: 0.8205
+- F1: 0.8128
+- Accuracy: 0.9473
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.3151        | 1.0   | 582  | 0.1675          | 0.7937    | 0.7926 | 0.7932 | 0.9439   |
+| 0.1639        | 2.0   | 1164 | 0.1618          | 0.8068    | 0.8053 | 0.8061 | 0.9470   |
+| 0.143         | 3.0   | 1746 | 0.1586          | 0.8051    | 0.8205 | 0.8128 | 0.9473   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0