Training completed!

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1363
-- F1: 0.8658
+- Loss: 0.1399
+- F1: 0.8620
 
 ## Model description
 
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 24
 - eval_batch_size: 24
 - 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
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2539        | 1.0   | 525  | 0.1505          | 0.8246 |
-| 0.1268        | 2.0   | 1050 | 0.1380          | 0.8503 |
-| 0.0794        | 3.0   | 1575 | 0.1363          | 0.8658 |
+| 0.2556        | 1.0   | 525  | 0.1498          | 0.8286 |
+| 0.1305        | 2.0   | 1050 | 0.1374          | 0.8535 |
+| 0.0786        | 3.0   | 1575 | 0.1399          | 0.8620 |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
 - Datasets 3.1.0
-- Tokenizers 0.19.1
+- Tokenizers 0.20.3

runs/Nov19_04-47-16_1362611a8dba/events.out.tfevents.1731991684.1362611a8dba.350.0

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+size 7357