End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: tiny-bert-sst2-distilled
+- name: thesis
   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. -->
 
-# tiny-bert-sst2-distilled
+# thesis
 
 This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9443
-- Accuracy: 0.8096
+- Loss: 2.7609
+- Accuracy: 0.7546
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00022390525344466504
+- learning_rate: 3.0969456495664865e-05
 - train_batch_size: 128
 - eval_batch_size: 128
 - seed: 33
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9485        | 1.0   | 527  | 0.9443          | 0.8096   |
+| 3.5143        | 1.0   | 527  | 2.7609          | 0.7546   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f997e674f86a3279b15f843454d67ea00c93ebaf9b29520c2c40168f1e515af
+oid sha256:80e1394480fe8cab6850fe31965cda4ed62c4b2f2820f44613419d964b8e47a5
 size 17549312