Model save

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7004
-- Accuracy: 0.8431
-- F1: 0.8806
+- Loss: 0.7208
+- Accuracy: 0.8480
+- F1: 0.8912
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - 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
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.5482        | 1.0893 | 500  | 0.4527          | 0.8407   | 0.8837 |
-| 0.3525        | 2.1786 | 1000 | 0.7004          | 0.8431   | 0.8806 |
+| 0.5017        | 1.0893 | 500  | 0.5843          | 0.8382   | 0.8870 |
+| 0.3028        | 2.1786 | 1000 | 0.7208          | 0.8480   | 0.8912 |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
+- Transformers 4.46.2
 - Pytorch 2.5.0+cu121
-- Datasets 3.0.2
-- Tokenizers 0.19.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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runs/Nov15_15-03-09_27c47a98afdf/events.out.tfevents.1731683058.27c47a98afdf.564.0

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