Gkumi/filtered-lr-2e-5

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0330
-- Precision: 0.9518
-- Recall: 0.9626
-- F1: 0.9571
-- Accuracy: 0.9915
+- Loss: 0.0452
+- Precision: 0.8809
+- Recall: 0.9161
+- F1: 0.8982
+- Accuracy: 0.9860
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0005
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.037         | 1.0   | 2180  | 0.0299          | 0.9206    | 0.9496 | 0.9349 | 0.9897   |
-| 0.0246        | 2.0   | 4360  | 0.0288          | 0.9317    | 0.9539 | 0.9427 | 0.9899   |
-| 0.0177        | 3.0   | 6540  | 0.0273          | 0.9453    | 0.9571 | 0.9512 | 0.9915   |
-| 0.0097        | 4.0   | 8720  | 0.0305          | 0.9526    | 0.9622 | 0.9574 | 0.9914   |
-| 0.0073        | 5.0   | 10900 | 0.0330          | 0.9518    | 0.9626 | 0.9571 | 0.9915   |
+| 0.1732        | 1.0   | 2180  | 0.1202          | 0.5106    | 0.6557 | 0.5741 | 0.9612   |
+| 0.1057        | 2.0   | 4360  | 0.0821          | 0.6500    | 0.7866 | 0.7118 | 0.9728   |
+| 0.0639        | 3.0   | 6540  | 0.0573          | 0.7953    | 0.8256 | 0.8102 | 0.9812   |
+| 0.0347        | 4.0   | 8720  | 0.0482          | 0.8531    | 0.9030 | 0.8773 | 0.9846   |
+| 0.0212        | 5.0   | 10900 | 0.0452          | 0.8809    | 0.9161 | 0.8982 | 0.9860   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a35e47faf6fe19519449af84407e88b23990665663d67acee7b9f5ac14f0630b
+oid sha256:39c860293db6bf3333214ae1cfb4abf530c95f3616374004283b905440d47ed3
 size 260871348

runs/Jun21_06-22-04_4d7ec1434e98/events.out.tfevents.1718950931.4d7ec1434e98.17002.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb6b0598f9491eb0dc8f2799c1f0582edd91898b2625feecc419d9ee05d476f5
+size 10254

runs/Jun21_06-43-46_4d7ec1434e98/events.out.tfevents.1718952230.4d7ec1434e98.17002.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:659cf1ff0ad8fad67425ef7eec30d135adf800aa257b44297a73bb8a4610e809
+size 9150

runs/Jun21_07-00-39_4d7ec1434e98/events.out.tfevents.1718953240.4d7ec1434e98.45530.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a369bfe751012a67af70a435191fc8620b0bda845e8fe4d9a90ab1c23722f947
+size 13202

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0a04247b7112e2dcd6c3deafdd1e3af457d93308d69217af6ce6b634f182dd2
+oid sha256:eb93366af5e97fad4ae74bb279e1c22d12fcd02abea9bd82f79445dd77042f3e
 size 5112