Training in progress, epoch 1

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: mit
-base_model: xlm-roberta-base
+license: apache-2.0
+base_model: cis-lmu/glot500-base
 tags:
 - generated_from_trainer
 metrics:
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # glot500_Inj_fr_gsd
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0714
-- Precision: 0.9739
-- Recall: 0.9748
-- F1: 0.9743
-- Accuracy: 0.9764
+- Loss: 0.1195
+- Precision: 0.9635
+- Recall: 0.9626
+- F1: 0.9630
+- Accuracy: 0.9652
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4249        | 1.0   | 904  | 0.0824          | 0.9706    | 0.9723 | 0.9714 | 0.9733   |
-| 0.1046        | 2.0   | 1808 | 0.0714          | 0.9739    | 0.9748 | 0.9743 | 0.9764   |
+| 0.9563        | 1.0   | 904  | 0.1448          | 0.9590    | 0.9562 | 0.9576 | 0.9630   |
+| 0.1622        | 2.0   | 1808 | 0.1195          | 0.9635    | 0.9626 | 0.9630 | 0.9652   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 1574203208

training_args.bin

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 size 5304