End of training

README.md

@@ -0,0 +1,68 @@
+---
+license: mit
+base_model: Clinical-AI-Apollo/Medical-NER
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: Medical-NER-finetuned-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. -->
+
+# Medical-NER-finetuned-ner
+
+This model is a fine-tuned version of [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical-AI-Apollo/Medical-NER) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0603
+- Precision: 0.8160
+- Recall: 0.8837
+- F1: 0.8485
+- Accuracy: 0.9837
+
+## 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
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 340  | 0.0609          | 0.8136    | 0.8503 | 0.8316 | 0.9825   |
+| 0.1068        | 2.0   | 680  | 0.0520          | 0.8096    | 0.8819 | 0.8442 | 0.9835   |
+| 0.0335        | 3.0   | 1020 | 0.0603          | 0.8160    | 0.8837 | 0.8485 | 0.9837   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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tokenizer.json

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 {
   "version": "1.0",
   "truncation": null,
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+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
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+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
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