End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6228
+- Loss: 2.8374
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 3
 
@@ -47,14 +47,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 306  | 2.9228          |
-| 3.3619        | 2.0   | 612  | 2.6902          |
-| 3.3619        | 3.0   | 918  | 2.6228          |
+| No log        | 1.0   | 306  | 3.0440          |
+| 3.2825        | 2.0   | 612  | 2.8582          |
+| 3.2825        | 3.0   | 918  | 2.8374          |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
+- Transformers 4.46.2
 - Pytorch 2.5.0+cu121
 - Datasets 3.1.0
-- Tokenizers 0.19.1
+- Tokenizers 0.20.3

runs/Nov13_14-53-09_301a0790d99f/events.out.tfevents.1731509592.301a0790d99f.3216.0

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+size 6336