Training completed!

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-de-fr
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # xlm-roberta-base-finetuned-panx-de-fr
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2175
+- F1: 0.8549
 
 ## Model description
 
@@ -33,15 +38,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 2
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.3315        | 1.0   | 4290 | 0.2743          | 0.7948 |
+| 0.1791        | 2.0   | 8580 | 0.2175          | 0.8549 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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