End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.438385803326849
+      value: 0.0
     - name: Recall
       type: recall
-      value: 0.38719800834531365
+      value: 0.0
     - name: F1
       type: f1
-      value: 0.4112050346317122
+      value: 0.0
     - name: Accuracy
       type: accuracy
-      value: 0.6079383357712697
+      value: 0.41848218895198763
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the maccrobat_biomedical_ner dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6396
-- Precision: 0.4384
-- Recall: 0.3872
-- F1: 0.4112
-- Accuracy: 0.6079
+- Loss: 2.4960
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.4185
 
 ## Model description
 
@@ -77,11 +77,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 13   | 1.8288          | 0.3215    | 0.2593 | 0.2871 | 0.5356   |
-| No log        | 2.0   | 26   | 1.6907          | 0.3988    | 0.3448 | 0.3698 | 0.5838   |
-| No log        | 3.0   | 39   | 1.6396          | 0.4384    | 0.3872 | 0.4112 | 0.6079   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 10   | 2.9692          | 0.0       | 0.0    | 0.0 | 0.4185   |
+| No log        | 2.0   | 20   | 2.5900          | 0.0       | 0.0    | 0.0 | 0.4185   |
+| No log        | 3.0   | 30   | 2.4960          | 0.0       | 0.0    | 0.0 | 0.4185   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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