End of training

README.md

@@ -6,9 +6,36 @@ tags:
 - generated_from_trainer
 datasets:
 - wnut_17
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: my_awesome_wnut_model
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: wnut_17
+      type: wnut_17
+      config: wnut_17
+      split: test
+      args: wnut_17
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.5390279823269514
+    - name: Recall
+      type: recall
+      value: 0.3392029657089898
+    - name: F1
+      type: f1
+      value: 0.41638225255972694
+    - name: Accuracy
+      type: accuracy
+      value: 0.943952802359882
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +44,12 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_wnut_model
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2711
+- Precision: 0.5390
+- Recall: 0.3392
+- F1: 0.4164
+- Accuracy: 0.9440
 
 ## Model description
 
@@ -41,13 +74,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 0.01
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 0.0141 | 3    | 2.4349          | 0.0045    | 0.0593 | 0.0083 | 0.1690   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 213  | 0.2856          | 0.6172    | 0.2465 | 0.3523 | 0.9386   |
+| No log        | 2.0   | 426  | 0.2706          | 0.5669    | 0.3142 | 0.4043 | 0.9422   |
+| 0.1857        | 3.0   | 639  | 0.2711          | 0.5390    | 0.3392 | 0.4164 | 0.9440   |
 
 
 ### Framework versions

model.safetensors

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 size 265503852

runs/Nov20_13-37-33_3368db735ada/events.out.tfevents.1732109854.3368db735ada.1815.2

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+size 7544