End of training

README.md

@@ -15,7 +15,7 @@ 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: 2.0584
+- Loss: 1.7352
 
 ## Model description
 
@@ -35,8 +35,8 @@ 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: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 125  | 2.9283          |
-| No log        | 2.0   | 250  | 2.2215          |
-| No log        | 3.0   | 375  | 2.0584          |
+| No log        | 1.0   | 250  | 2.7299          |
+| 2.9077        | 2.0   | 500  | 1.8695          |
+| 2.9077        | 3.0   | 750  | 1.7352          |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.1.2
-- Datasets 2.19.2
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Aug04_05-02-41_20257e531e93/events.out.tfevents.1722747762.20257e531e93.590.2

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