End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: EuroBERT/EuroBERT-210m
+base_model: EuroBERT/EuroBERT-610m
 tags:
 - generated_from_trainer
 metrics:
@@ -16,17 +16,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # EuroBERT-immigration-binary-german
 
-This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on the None dataset.
+This model is a fine-tuned version of [EuroBERT/EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6752
-- Accuracy: 0.9177
-- F1 Macro: 0.9176
-- Accuracy Balanced: 0.9182
-- F1 Micro: 0.9177
-- Precision Macro: 0.9179
-- Recall Macro: 0.9182
-- Precision Micro: 0.9177
-- Recall Micro: 0.9177
+- Loss: 0.6248
+- Accuracy: 0.9087
+- F1 Macro: 0.9065
+- Accuracy Balanced: 0.9061
+- F1 Micro: 0.9087
+- Precision Macro: 0.9070
+- Recall Macro: 0.9061
+- Precision Micro: 0.9087
+- Recall Micro: 0.9087
 
 ## Model description
 
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
-| 0.4619        | 1.0   | 1178 | 0.4551          | 0.9219   | 0.9219   | 0.9227            | 0.9219   | 0.9225          | 0.9227       | 0.9219          | 0.9219       |
-| 0.2904        | 2.0   | 2356 | 0.6883          | 0.9049   | 0.9046   | 0.9041            | 0.9049   | 0.9064          | 0.9041       | 0.9049          | 0.9049       |
-| 0.1598        | 3.0   | 3534 | 0.6573          | 0.9160   | 0.9159   | 0.9164            | 0.9160   | 0.9160          | 0.9164       | 0.9160          | 0.9160       |
-| 0.0759        | 4.0   | 4712 | 0.5659          | 0.9202   | 0.9202   | 0.9206            | 0.9202   | 0.9203          | 0.9206       | 0.9202          | 0.9202       |
-| 0.0428        | 5.0   | 5890 | 0.6752          | 0.9177   | 0.9176   | 0.9182            | 0.9177   | 0.9179          | 0.9182       | 0.9177          | 0.9177       |
+| 0.5811        | 1.0   | 1578 | 0.5772          | 0.8834   | 0.8755   | 0.8650            | 0.8834   | 0.9083          | 0.8650       | 0.8834          | 0.8834       |
+| 0.3917        | 2.0   | 3156 | 0.4164          | 0.8992   | 0.8956   | 0.8912            | 0.8992   | 0.9027          | 0.8912       | 0.8992          | 0.8992       |
+| 0.3085        | 3.0   | 4734 | 0.4480          | 0.9144   | 0.9122   | 0.9106            | 0.9144   | 0.9139          | 0.9106       | 0.9144          | 0.9144       |
+| 0.1768        | 4.0   | 6312 | 0.6187          | 0.9056   | 0.9021   | 0.8973            | 0.9056   | 0.9100          | 0.8973       | 0.9056          | 0.9056       |
+| 0.0676        | 5.0   | 7890 | 0.6248          | 0.9087   | 0.9065   | 0.9061            | 0.9087   | 0.9070          | 0.9061       | 0.9087          | 0.9087       |
 
 
 ### Framework versions
 
 - Transformers 4.49.0
 - Pytorch 2.6.0+cu124
-- Datasets 3.4.0
-- Tokenizers 0.21.0
+- Datasets 3.4.1
+- Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18f0fb121c92426f0416324250882656ff99dc8e4171cea048156deb9772e8d7
+oid sha256:26862fb8cc9725d04d5cdec6b8254dfa8e492c73517528570538b850b8d24483
 size 2436848328