End of training

README.md

@@ -17,9 +17,9 @@ 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: 0.5419
+- Loss: 0.5468
 - Pearson: 0.8721
-- Spearmanr: 0.8692
+- Spearmanr: 0.8691
 
 ## Model description
 
@@ -38,10 +38,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 7.503545930910804e-05
-- train_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 16
 - eval_batch_size: 16
-- seed: 19
+- seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
-| 1.1437        | 1.0   | 719  | 0.6564          | 0.8435  | 0.8459    |
-| 0.6029        | 2.0   | 1438 | 0.5862          | 0.8616  | 0.8575    |
-| 0.2677        | 3.0   | 2157 | 0.5680          | 0.8676  | 0.8648    |
-| 0.1959        | 4.0   | 2876 | 0.5500          | 0.8705  | 0.8686    |
-| 0.0985        | 5.0   | 3595 | 0.5419          | 0.8721  | 0.8692    |
+| No log        | 1.0   | 360  | 0.5950          | 0.8674  | 0.8650    |
+| 1.0355        | 2.0   | 720  | 0.5793          | 0.8691  | 0.8671    |
+| 0.3987        | 3.0   | 1080 | 0.5628          | 0.8713  | 0.8683    |
+| 0.3987        | 4.0   | 1440 | 0.5486          | 0.8706  | 0.8678    |
+| 0.2437        | 5.0   | 1800 | 0.5468          | 0.8721  | 0.8691    |
 
 
 ### Framework versions

runs/Mar10_22-33-58_0f0a24039c15/events.out.tfevents.1710110039.0f0a24039c15.273.0

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-size 7099
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+size 7453

runs/Mar10_22-33-58_0f0a24039c15/events.out.tfevents.1710110129.0f0a24039c15.273.1

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