End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9243045108923302
+      value: 0.8995526025694756
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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
+- Loss: 0.4844
+- F1: 0.8996
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | 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 |
+| 1.1498        | 1.0   | 626  | 0.8605          | 0.8360 |
+| 0.4663        | 2.0   | 1252 | 0.4844          | 0.8996 |
 
 
 ### Framework versions

logs/events.out.tfevents.1697023585.aa3e11faf74f.3668.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce49f8f1ea336f1de3170422f4f3a50cc6a2c924058ef41c33ae3c8c8f2c878b
-size 10875
+oid sha256:08168513d3326e76ccae4667e26d32d6abb24791dec050aab1a17649331c0303
+size 11229

tokenizer.json

@@ -1,7 +1,21 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": {
+      "Fixed": 512
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,