End of training

README.md

@@ -7,18 +7,18 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: my-bert-classifier
+- name: my-bert-classifier2
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# my-bert-classifier
+# my-bert-classifier2
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0018
+- Loss: 0.0001
 - Accuracy: 1.0
 
 ## Model description
@@ -44,15 +44,32 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0242        | 1.0   | 30   | 0.0089          | 1.0      |
-| 0.0034        | 2.0   | 60   | 0.0022          | 1.0      |
-| 0.0024        | 3.0   | 90   | 0.0018          | 1.0      |
+| 0.0249        | 1.0   | 60   | 0.0205          | 0.9958   |
+| 0.0011        | 2.0   | 120  | 0.0009          | 1.0      |
+| 0.0006        | 3.0   | 180  | 0.0005          | 1.0      |
+| 0.0004        | 4.0   | 240  | 0.0003          | 1.0      |
+| 0.0003        | 5.0   | 300  | 0.0002          | 1.0      |
+| 0.0002        | 6.0   | 360  | 0.0002          | 1.0      |
+| 0.0002        | 7.0   | 420  | 0.0001          | 1.0      |
+| 0.0002        | 8.0   | 480  | 0.0001          | 1.0      |
+| 0.0001        | 9.0   | 540  | 0.0001          | 1.0      |
+| 0.0001        | 10.0  | 600  | 0.0001          | 1.0      |
+| 0.0001        | 11.0  | 660  | 0.0001          | 1.0      |
+| 0.0001        | 12.0  | 720  | 0.0001          | 1.0      |
+| 0.0001        | 13.0  | 780  | 0.0001          | 1.0      |
+| 0.0001        | 14.0  | 840  | 0.0001          | 1.0      |
+| 0.0001        | 15.0  | 900  | 0.0001          | 1.0      |
+| 0.0001        | 16.0  | 960  | 0.0001          | 1.0      |
+| 0.0001        | 17.0  | 1020 | 0.0001          | 1.0      |
+| 0.0001        | 18.0  | 1080 | 0.0001          | 1.0      |
+| 0.0001        | 19.0  | 1140 | 0.0001          | 1.0      |
+| 0.0001        | 20.0  | 1200 | 0.0001          | 1.0      |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:d5f1bd5ba2a7e3f07358fc155b7119a4a4af94f9dd6b5a730950e35ddbb6f6f3
 size 437958648

runs/Mar26_19-03-18_0fbb0e163ec5/events.out.tfevents.1743015799.0fbb0e163ec5.955.5

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 version https://git-lfs.github.com/spec/v1
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-size 36774
+oid sha256:fc81fbf62cb9925f6a02ec05718a012229bf5f90917a9505ddf7c69a0847489e
+size 37128