End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.07692307692307693
+      value: 0.36904761904761907
     - name: Recall
       type: recall
-      value: 0.0009267840593141798
+      value: 0.11492122335495829
     - name: F1
       type: f1
-      value: 0.0018315018315018315
+      value: 0.1752650176678445
     - name: Accuracy
       type: accuracy
-      value: 0.9257929383602633
+      value: 0.9319911088313243
 ---
 
 <!-- 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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3261
-- Precision: 0.0769
-- Recall: 0.0009
-- F1: 0.0018
-- Accuracy: 0.9258
+- Loss: 0.3070
+- Precision: 0.3690
+- Recall: 0.1149
+- F1: 0.1753
+- Accuracy: 0.9320
 
 ## Model description
 
@@ -73,17 +73,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.4147          | 0.0       | 0.0    | 0.0    | 0.9256   |
-| No log        | 2.0   | 426  | 0.3513          | 0.0       | 0.0    | 0.0    | 0.9256   |
-| 0.6236        | 3.0   | 639  | 0.3337          | 0.3333    | 0.0009 | 0.0018 | 0.9257   |
-| 0.6236        | 4.0   | 852  | 0.3272          | 0.1111    | 0.0009 | 0.0018 | 0.9258   |
-| 0.208         | 5.0   | 1065 | 0.3261          | 0.0769    | 0.0009 | 0.0018 | 0.9258   |
+| No log        | 1.0   | 213  | 0.4153          | 0.0       | 0.0    | 0.0    | 0.9256   |
+| No log        | 2.0   | 426  | 0.3484          | 0.0       | 0.0    | 0.0    | 0.9256   |
+| 0.6399        | 3.0   | 639  | 0.3303          | 0.2222    | 0.0037 | 0.0073 | 0.9256   |
+| 0.6399        | 4.0   | 852  | 0.3233          | 0.2179    | 0.0158 | 0.0294 | 0.9269   |
+| 0.2004        | 5.0   | 1065 | 0.3164          | 0.3152    | 0.0482 | 0.0836 | 0.9286   |
+| 0.2004        | 6.0   | 1278 | 0.3148          | 0.3421    | 0.0723 | 0.1194 | 0.9299   |
+| 0.2004        | 7.0   | 1491 | 0.3100          | 0.3653    | 0.0918 | 0.1467 | 0.9309   |
+| 0.1861        | 8.0   | 1704 | 0.3083          | 0.3522    | 0.0982 | 0.1536 | 0.9312   |
+| 0.1861        | 9.0   | 1917 | 0.3057          | 0.3663    | 0.1168 | 0.1771 | 0.9320   |
+| 0.1782        | 10.0  | 2130 | 0.3070          | 0.3690    | 0.1149 | 0.1753 | 0.9320   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e559d3b10740e0d40a411b3aeffdc4abfe4944d50043c521744af1191099c25
+oid sha256:f9f22968680d21af996f2f1f696c905944e844ff324a5759a0de4b7aed5d6467
 size 434526420