End of training

README.md

@@ -1,24 +1,24 @@
 ---
 license: apache-2.0
-base_model: agvidit1/TinyBert-Berttoken-Toxigen-pretrain
+base_model: google/bert_uncased_L-4_H-256_A-4
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
-- name: tinybert-toxigen-bothpretrained
+- name: tinybert-TG-HS-HX-parentpretrained
   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. -->
 
-# tinybert-toxigen-bothpretrained
+# tinybert-TG-HS-HX-parentpretrained
 
-This model is a fine-tuned version of [agvidit1/TinyBert-Berttoken-Toxigen-pretrain](https://huggingface.co/agvidit1/TinyBert-Berttoken-Toxigen-pretrain) on an unknown dataset.
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2482
-- Accuracy: 0.7702
+- Loss: 0.1937
+- Accuracy: 0.8230
 
 ## Model description
 
@@ -37,24 +37,25 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 6.534672522105872e-05
+- learning_rate: 5.2898091511494136e-05
 - train_batch_size: 128
 - eval_batch_size: 128
 - seed: 33
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2425        | 1.0   | 55   | 0.2482          | 0.7596   |
-| 0.2382        | 2.0   | 110  | 0.2482          | 0.7677   |
-| 0.2363        | 3.0   | 165  | 0.2483          | 0.7591   |
-| 0.2348        | 4.0   | 220  | 0.2484          | 0.7707   |
-| 0.2343        | 5.0   | 275  | 0.2487          | 0.7672   |
-| 0.2342        | 6.0   | 330  | 0.2482          | 0.7702   |
+| 0.1819        | 1.0   | 197  | 0.1923          | 0.8227   |
+| 0.1791        | 2.0   | 394  | 0.1922          | 0.8223   |
+| 0.1772        | 3.0   | 591  | 0.1950          | 0.8143   |
+| 0.1761        | 4.0   | 788  | 0.1932          | 0.8239   |
+| 0.1756        | 5.0   | 985  | 0.1932          | 0.8234   |
+| 0.1752        | 6.0   | 1182 | 0.1939          | 0.8242   |
+| 0.1759        | 7.0   | 1379 | 0.1937          | 0.8230   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84458cf3d2f53af5c75b2bdb544cb68359cab6808e3ae13f1cf3f448b046c111
+oid sha256:014f979c15c43a028f47dd566784e21f9017a7cea42cf90050150feaed746cf7
 size 44692608