End of training

README.md

@@ -20,8 +20,8 @@ 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 the imdb-dataset-of-50k-movie-reviews dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3021
-- Accuracy: 0.9144
+- Loss: 0.2047
+- Accuracy: 0.9293
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 32
 - 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
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 5
@@ -54,16 +54,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3378        | 1.0   | 1250 | 0.2327          | 0.9042   |
-| 0.186         | 2.0   | 2500 | 0.2519          | 0.9117   |
-| 0.1135        | 3.0   | 3750 | 0.3021          | 0.9144   |
-| 0.0706        | 4.0   | 5000 | 0.3474          | 0.9125   |
-| 0.0453        | 5.0   | 6250 | 0.3919          | 0.9135   |
+| 0.3001        | 1.0   | 1250 | 0.2115          | 0.9198   |
+| 0.1616        | 2.0   | 2500 | 0.2047          | 0.9293   |
+| 0.0968        | 3.0   | 3750 | 0.2511          | 0.9293   |
+| 0.0558        | 4.0   | 5000 | 0.3152          | 0.928    |
 
 
 ### 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

model.safetensors

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