End of training

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - banking77
+metrics:
+- f1
 model-index:
 - name: bert-base-banking77-pt2
-  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: 0.9243045108923302
 ---
 
 <!-- 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. -->
 # bert-base-banking77-pt2
 
 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: 0.3330
+- F1: 0.9243
 
 ## Model description
 
@@ -39,7 +57,16 @@ 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: 3
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6195        | 1.0   | 626  | 0.4803          | 0.9055 |
+| 0.2692        | 2.0   | 1252 | 0.3330          | 0.9243 |
+
 
 ### Framework versions
 

logs/events.out.tfevents.1696949131.c170a5a8a25e.1388.14

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