End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
@@ -17,8 +18,8 @@ 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: 0.2823
-- Accuracy: 0.9083
+- Loss: 0.3009
+- Accuracy: 0.9048
 
 ## Model description
 
@@ -41,7 +42,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 512
 - eval_batch_size: 512
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use OptimizerNames.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: 5
 
@@ -49,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 132  | 0.2514          | 0.9002   |
-| No log        | 2.0   | 264  | 0.2852          | 0.8911   |
-| No log        | 3.0   | 396  | 0.2823          | 0.9083   |
-| 0.1928        | 4.0   | 528  | 0.2995          | 0.9025   |
-| 0.1928        | 5.0   | 660  | 0.3086          | 0.9014   |
+| No log        | 1.0   | 132  | 0.2494          | 0.8968   |
+| No log        | 2.0   | 264  | 0.2767          | 0.8968   |
+| No log        | 3.0   | 396  | 0.2810          | 0.9002   |
+| 0.195         | 4.0   | 528  | 0.2920          | 0.9025   |
+| 0.195         | 5.0   | 660  | 0.3009          | 0.9048   |
 
 
 ### Framework versions
 
-- Transformers 4.43.3
-- Pytorch 2.4.0+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3