Training complete

README.md

@@ -3,11 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: BioMedical_NER-maccrobat-distilbert
   results: []
@@ -19,12 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # BioMedical_NER-maccrobat-distilbert
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9979
-- Precision: 0.4681
-- Recall: 0.5719
-- F1: 0.5148
-- Accuracy: 0.7371
 
 ## Model description
 
@@ -49,23 +38,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 45   | 1.7911          | 0.0       | 0.0    | 0.0    | 0.6197   |
-| No log        | 2.0   | 90   | 1.5118          | 0.3469    | 0.0414 | 0.0739 | 0.6378   |
-| No log        | 3.0   | 135  | 1.3141          | 0.3698    | 0.2341 | 0.2867 | 0.6706   |
-| No log        | 4.0   | 180  | 1.1994          | 0.4085    | 0.3350 | 0.3681 | 0.6906   |
-| No log        | 5.0   | 225  | 1.1360          | 0.4134    | 0.4395 | 0.4261 | 0.6997   |
-| No log        | 6.0   | 270  | 1.0721          | 0.4492    | 0.4708 | 0.4597 | 0.7188   |
-| No log        | 7.0   | 315  | 1.0519          | 0.4414    | 0.5356 | 0.4840 | 0.7229   |
-| No log        | 8.0   | 360  | 1.0100          | 0.4724    | 0.5421 | 0.5049 | 0.7357   |
-| No log        | 9.0   | 405  | 1.0026          | 0.4663    | 0.5679 | 0.5121 | 0.7358   |
-| No log        | 10.0  | 450  | 0.9979          | 0.4681    | 0.5719 | 0.5148 | 0.7371   |
-
+- num_epochs: 30
 
 ### Framework versions
 

pytorch_model.bin

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 size 265738597

training_args.bin

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 size 4091