Training completed!

README.md

@@ -13,12 +13,13 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kazuaki08181-ibaraki-city/huggingface/runs/bqiwuzto)
 # xlm-roberta-base-finetuned-panx-de
 
 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: 0.1358
-- F1: 0.8624
+- Loss: 0.1336
+- F1: 0.8642
 
 ## Model description
 
@@ -49,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2589        | 1.0   | 525  | 0.1526          | 0.8310 |
-| 0.1255        | 2.0   | 1050 | 0.1357          | 0.8503 |
-| 0.0774        | 3.0   | 1575 | 0.1358          | 0.8624 |
+| 0.2646        | 1.0   | 525  | 0.1541          | 0.8223 |
+| 0.1291        | 2.0   | 1050 | 0.1361          | 0.8544 |
+| 0.0809        | 3.0   | 1575 | 0.1336          | 0.8642 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.3.1+cu121
-- Datasets 2.21.0
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Aug18_11-50-17_8c677dc08c69/events.out.tfevents.1723981866.8c677dc08c69.34.0

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