Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9265
+      value: 0.927
     - name: F1
       type: f1
-      value: 0.9266340265149472
+      value: 0.9268030465478547
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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 emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2148
-- Accuracy: 0.9265
-- F1: 0.9266
+- Loss: 0.2087
+- Accuracy: 0.927
+- F1: 0.9268
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8507        | 1.0   | 250  | 0.3021          | 0.912    | 0.9112 |
-| 0.2551        | 2.0   | 500  | 0.2148          | 0.9265   | 0.9266 |
+| 0.8265        | 1.0   | 250  | 0.2940          | 0.9105   | 0.9092 |
+| 0.2456        | 2.0   | 500  | 0.2087          | 0.927    | 0.9268 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8dbd02844b86cdab6818634d16a460e922b6d70aabafb2078bb4f080f73db27
+oid sha256:cab478acbad9c65dcf698c6fcfc72420d70355232edc2689e526214d5e490d72
 size 267844872

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:acc4c1733f623983969c69dd6bfa40491f327a4504d9188109636592d1cdea0f
+oid sha256:66a69d31ff6bc519d1b1fe0cd9c236f77abc8afd9f5366eaaebe2e6962ce5106
 size 5176