End of training

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. -->
 
 # XLMR-sing-ca-fr
 
-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: 0.0722
-- Precision: 0.9752
-- Recall: 0.9776
-- F1: 0.9764
-- Accuracy: 0.9792
+- Loss: 0.1314
+- Precision: 0.9641
+- Recall: 0.9631
+- F1: 0.9636
+- 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 |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2829        | 1.0   | 625  | 0.0902          | 0.9676    | 0.9703 | 0.9690 | 0.9736   |
-| 0.0667        | 2.0   | 1250 | 0.0722          | 0.9752    | 0.9776 | 0.9764 | 0.9792   |
+| 0.8087        | 1.0   | 625  | 0.1718          | 0.9565    | 0.9557 | 0.9561 | 0.9597   |
+| 0.1359        | 2.0   | 1250 | 0.1314          | 0.9641    | 0.9631 | 0.9636 | 0.9652   |
 
 
 ### Framework versions

runs/Feb17_20-55-13_ed4ad4a957af/events.out.tfevents.1739825715.ed4ad4a957af.3044.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6990
+oid sha256:1f4983df5dc1474f845c653dfee401fc2b432812fffc10c8c2dbc8d8c63e6ea2
+size 7344