End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.3946
-- Accuracy: 0.9417
+- Loss: 1.0929
+- Accuracy: 0.913
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 469  | 2.7414          | 0.8133   |
-| 3.9658        | 2.0   | 938  | 1.1906          | 0.8903   |
-| 1.8197        | 3.0   | 1407 | 0.6254          | 0.9243   |
-| 0.8014        | 4.0   | 1876 | 0.4422          | 0.9383   |
-| 0.4481        | 5.0   | 2345 | 0.3946          | 0.9417   |
+| No log        | 1.0   | 235  | 3.5874          | 0.701    |
+| No log        | 2.0   | 470  | 2.3204          | 0.826    |
+| 3.6337        | 3.0   | 705  | 1.5661          | 0.8817   |
+| 3.6337        | 4.0   | 940  | 1.2010          | 0.907    |
+| 1.6164        | 5.0   | 1175 | 1.0929          | 0.913    |
 
 
 ### Framework versions

runs/Nov30_08-54-57_18fb2a820fd0/events.out.tfevents.1701335203.18fb2a820fd0.644.1

@@ -0,0 +1,3 @@
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+oid sha256:dea2c63cad2dcf2456beae4aecc4021621b477f17c7b8567b44b20225241abec
+size 411