text finetuning on full dataset with validation set

README.md

@@ -11,9 +11,6 @@ metrics:
 model-index:
 - name: DL_Audio_Hatespeech_text_classification_trainer_push
   results: []
-widget:
-  - text: It is crazy how diverse certain schools are!
-  - text: I hate sleeping in!
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -23,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6725
-- Accuracy: 0.7641
-- Recall: 0.7771
-- Precision: 0.7620
-- F1: 0.7695
+- Loss: 1.0640
+- Accuracy: 0.7544
+- Recall: 0.7930
+- Precision: 0.7406
+- F1: 0.7659
 
 ## Model description
 
@@ -59,18 +56,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.0191        | 1.0   | 97   | 1.5765          | 0.7483   | 0.8032 | 0.7281    | 0.7638 |
-| 0.0351        | 2.0   | 194  | 1.2599          | 0.7428   | 0.8070 | 0.7195    | 0.7607 |
-| 0.0451        | 3.0   | 291  | 1.1736          | 0.7580   | 0.7860 | 0.7488    | 0.7669 |
-| 0.039         | 4.0   | 388  | 1.2600          | 0.7557   | 0.7592 | 0.7588    | 0.7590 |
-| 0.039         | 5.0   | 485  | 1.1336          | 0.7606   | 0.7631 | 0.7640    | 0.7635 |
-| 0.0199        | 6.0   | 582  | 1.4645          | 0.7593   | 0.7777 | 0.7546    | 0.7660 |
-| 0.017         | 7.0   | 679  | 1.5825          | 0.7628   | 0.7096 | 0.7997    | 0.7519 |
-| 0.0062        | 8.0   | 776  | 1.5688          | 0.7673   | 0.7510 | 0.7813    | 0.7658 |
-| 0.0121        | 9.0   | 873  | 1.6285          | 0.7651   | 0.7510 | 0.7777    | 0.7641 |
-| 0.0054        | 10.0  | 970  | 1.6725          | 0.7641   | 0.7771 | 0.7620    | 0.7695 |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4863        | 0.9935 | 77   | 0.4678          | 0.7701   | 0.7421 | 0.7841    | 0.7625 |
+| 0.3935        | 2.0    | 155  | 0.4595          | 0.7834   | 0.7340 | 0.8124    | 0.7712 |
+| 0.2792        | 2.9935 | 232  | 0.5285          | 0.7850   | 0.7291 | 0.8188    | 0.7713 |
+| 0.1408        | 4.0    | 310  | 0.7130          | 0.7785   | 0.7940 | 0.7684    | 0.7810 |
+| 0.0945        | 4.9935 | 387  | 0.8230          | 0.7806   | 0.7551 | 0.7937    | 0.7739 |
+| 0.0541        | 6.0    | 465  | 0.9977          | 0.7737   | 0.8118 | 0.7526    | 0.7811 |
+| 0.0331        | 6.9935 | 542  | 1.1107          | 0.7753   | 0.7859 | 0.7678    | 0.7768 |
+| 0.0151        | 8.0    | 620  | 1.1703          | 0.7789   | 0.7543 | 0.7915    | 0.7724 |
+| 0.0106        | 8.9935 | 697  | 1.2741          | 0.7785   | 0.7616 | 0.7864    | 0.7738 |
+| 0.0051        | 9.9355 | 770  | 1.2964          | 0.7753   | 0.7851 | 0.7683    | 0.7766 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab991281fc2bdf16ca66a34fe1332be0ec3f7031e14321c4f8cdabf4021b4eef
+oid sha256:64d674d2a023a0ccae13d0b2af42faff9a54cf1c02957a00474b871e2752cb45
 size 267832560