End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_multilingual_modernbert_base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model130
+  results: []
+---
+
+<!-- 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. -->
+
+# populism_model130
+
+This model is a fine-tuned version of [AnonymousCS/populism_multilingual_modernbert_base](https://huggingface.co/AnonymousCS/populism_multilingual_modernbert_base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1891
+- Accuracy: 0.9358
+- 1-f1: 0.6957
+- 1-recall: 0.9231
+- 1-precision: 0.5581
+- Balanced Acc: 0.9300
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| No log        | 1.0   | 21   | 0.2037          | 0.9327   | 0.7027 | 1.0      | 0.5417      | 0.9635       |
+| 0.2799        | 2.0   | 42   | 0.2866          | 0.9419   | 0.6415 | 0.6538   | 0.6296      | 0.8103       |
+| 0.1529        | 3.0   | 63   | 0.1891          | 0.9358   | 0.6957 | 0.9231   | 0.5581      | 0.9300       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0f583c5b2d989dd2b6d27293ff9eac73e041706d305fef799051ba050dcc44e
+oid sha256:dcddfe781a78128b0a87c9ba6ffd3ce9e9c53dcb813eb6e417997ae8d6ead0d7
 size 598439784

runs/Jan22_04-32-16_f98732f77a19/events.out.tfevents.1737520337.f98732f77a19.506.13

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2469c01208100fe1664b0c155157e69d1c91f6fc8b4e70f0ff14505d29a04e08
-size 6498
+oid sha256:2ef62a3bb1107f77f90862803b3ff85bbe8325ba94d240f25b58f295300e87b5
+size 8101