End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.6010733452593918
+      value: 0.5680628272251309
     - name: Recall
       type: recall
-      value: 0.3113994439295644
+      value: 0.40222428174235403
     - name: F1
       type: f1
-      value: 0.4102564102564103
+      value: 0.4709712425393381
     - name: Accuracy
       type: accuracy
-      value: 0.9425420033346159
+      value: 0.9480141934932239
 ---
 
 <!-- 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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2683
-- Precision: 0.6011
-- Recall: 0.3114
-- F1: 0.4103
-- Accuracy: 0.9425
+- Loss: 0.2966
+- Precision: 0.5681
+- Recall: 0.4022
+- F1: 0.4710
+- Accuracy: 0.9480
 
 ## Model description
 
@@ -68,19 +68,22 @@ 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: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2754          | 0.5764    | 0.2586 | 0.3570 | 0.9392   |
-| No log        | 2.0   | 426  | 0.2683          | 0.6011    | 0.3114 | 0.4103 | 0.9425   |
+| No log        | 1.0   | 107  | 0.2496          | 0.5131    | 0.3624 | 0.4248 | 0.9450   |
+| No log        | 2.0   | 214  | 0.2794          | 0.5829    | 0.3485 | 0.4362 | 0.9456   |
+| No log        | 3.0   | 321  | 0.2808          | 0.5755    | 0.3781 | 0.4564 | 0.9465   |
+| No log        | 4.0   | 428  | 0.2935          | 0.5569    | 0.3902 | 0.4589 | 0.9476   |
+| 0.059         | 5.0   | 535  | 0.2966          | 0.5681    | 0.4022 | 0.4710 | 0.9480   |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:c973fb04544e1d0e4f9611f1851085f7dcc3d9f454d4aa0b5a27b2e78128a756
 size 265503852