End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2763
+- Loss: 0.1988
 - Accuracy: 0.0003
 
 ## Model description
@@ -37,23 +37,25 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2806        | 1.0   | 938  | 1.7673          | 0.0      |
-| 1.2093        | 2.0   | 1876 | 0.5177          | 0.0      |
-| 0.3172        | 3.0   | 2814 | 0.2763          | 0.0003   |
-| 0.1316        | 4.0   | 3752 | 0.2175          | 0.0003   |
-| 0.0751        | 5.0   | 4690 | 0.2084          | 0.0003   |
+| 3.4521        | 1.0   | 938  | 0.6710          | 0.0      |
+| 0.3656        | 2.0   | 1876 | 0.2271          | 0.0      |
+| 0.0669        | 3.0   | 2814 | 0.1934          | 0.0      |
+| 0.0288        | 4.0   | 3752 | 0.1963          | 0.0      |
+| 0.0134        | 5.0   | 4690 | 0.1922          | 0.0      |
+| 0.0091        | 6.0   | 5628 | 0.1988          | 0.0003   |
+| 0.006         | 7.0   | 6566 | 0.1982          | 0.0003   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e9491d03a2392d3a08475057d385594a6518ab5cf1b8f5cbfd50ac9477019e4e
 size 268311210