End of training

README.md

@@ -16,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2432
-- F1: 0.6031
+- Loss: 1.3086
+- F1: 0.6047
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 32
-- eval_batch_size: 16
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.7459        | 1.0   | 351  | 1.2432          | 0.6031 |
-| 1.0147        | 2.0   | 702  | 1.3064          | 0.5944 |
-| 0.7209        | 3.0   | 1053 | 1.3832          | 0.5969 |
+| 1.7515        | 1.0   | 351  | 1.2623          | 0.6010 |
+| 1.0077        | 2.0   | 702  | 1.3086          | 0.6047 |
+| 0.7071        | 3.0   | 1053 | 1.3844          | 0.5987 |
 
 
 ### Framework versions

logs/events.out.tfevents.1686802686.ls.3999286.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:700cca29d75a36305b7f0a08fac177313bcce317feae54cc619aca78d21682e5
-size 4921
+oid sha256:cb5456a885f40ecb48949d71272db56a429ff8e322b6fb89639f05d5c38872c5
+size 6537

logs/events.out.tfevents.1686803005.ls.3999286.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07c48abea711eff87a2e17793ef440f4cf28e6f612ffbaecfced18ca4e81cc20
+size 405

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a32fecc9064fdfe0807ccb54a5cf7d222d5182c8406378d34da1a377ca66e785
+oid sha256:56b21ef0c3a9003df82734cee4cc9a214f22bb3770e083a719c45983a759611e
 size 438035573