End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
@@ -18,9 +19,9 @@ 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: 0.3349
-- Accuracy: 0.87
-- F1: 0.8730
+- Loss: 0.3292
+- Accuracy: 0.8733
+- F1: 0.8758
 
 ## Model description
 
@@ -43,7 +44,7 @@ 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 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: 2
 
@@ -53,7 +54,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan16_09-24-00_85119569b097/events.out.tfevents.1737019443.85119569b097.603.0

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runs/Jan16_09-24-00_85119569b097/events.out.tfevents.1737019773.85119569b097.603.1

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