End of training

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - banking77
+metrics:
+- f1
 model-index:
 - name: '11'
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: banking77
+      type: banking77
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9344723707873441
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # 11
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2943
+- F1: 0.9345
 
 ## Model description
 
@@ -42,6 +60,15 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0488        | 1.0   | 626  | 0.7690          | 0.8498 |
+| 0.378         | 2.0   | 1252 | 0.3683          | 0.9201 |
+| 0.1816        | 3.0   | 1878 | 0.2943          | 0.9345 |
+
+
 ### Framework versions
 
 - Transformers 4.27.1

logs/events.out.tfevents.1697139988.971047ffe8b0.71897.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2662b029f23fe7a28ae0d8127777b6e3691dfb0c0c636090c5901bb8a9ddf222
-size 11615
+oid sha256:04416e414e44cb3c3b9d14b880ec777be36faa1a314310ecd160963a2dd098ec
+size 11969