End of training

README.md

@@ -3,11 +3,8 @@ license: mit
 base_model: Clinical-AI-Apollo/Medical-NER
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
+datasets:
+- maccrobat_biomedical_ner
 model-index:
 - name: Medical-NER-finetuned-ner
   results: []
@@ -18,13 +15,7 @@ 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: 0.1889
-- Precision: 0.9049
-- Recall: 0.9351
-- F1: 0.9197
-- Accuracy: 0.9627
+This model is a fine-tuned version of [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical-AI-Apollo/Medical-NER) on the maccrobat_biomedical_ner dataset.
 
 ## Model description
 
@@ -44,21 +35,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - 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  | 0.1957          | 0.9022    | 0.9315 | 0.9166 | 0.9587   |
-| 0.0549        | 2.0   | 680  | 0.1589          | 0.8850    | 0.9297 | 0.9068 | 0.9583   |
-| 0.0353        | 3.0   | 1020 | 0.1889          | 0.9049    | 0.9351 | 0.9197 | 0.9627   |
-
+- num_epochs: 30
 
 ### Framework versions
 

model.safetensors

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 size 735605900

training_args.bin

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 size 4920