Training complete

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: bert-base-cased
+license: mit
+base_model: emilyalsentzer/Bio_ClinicalBERT
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9383
+- Loss: 1.1017
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.7543
+- Accuracy: 0.6675
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 13   | 1.0960          | 0.0       | 0.0    | 0.0 | 0.7543   |
-| No log        | 2.0   | 26   | 0.9772          | 0.0       | 0.0    | 0.0 | 0.7543   |
-| No log        | 3.0   | 39   | 0.9383          | 0.0       | 0.0    | 0.0 | 0.7543   |
+| No log        | 1.0   | 13   | 1.2998          | 0.0       | 0.0    | 0.0 | 0.6675   |
+| No log        | 2.0   | 26   | 1.1501          | 0.0       | 0.0    | 0.0 | 0.6675   |
+| No log        | 3.0   | 39   | 1.1017          | 0.0       | 0.0    | 0.0 | 0.6675   |
 
 
 ### Framework versions

model.safetensors

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 size 430929740

runs/Dec28_03-08-18_4b3ad2ae2bf3/events.out.tfevents.1703732900.4b3ad2ae2bf3.2118.0

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