End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_multilingual_bert_uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model221
+  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_model221
+
+This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1561
+- Accuracy: 0.9615
+- 1-f1: 0.7037
+- 1-recall: 0.8636
+- 1-precision: 0.5938
+- Balanced Acc: 0.9153
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.2568        | 1.0   | 26   | 0.1801          | 0.9014   | 0.5176 | 1.0      | 0.3492      | 0.9480       |
+| 0.1477        | 2.0   | 52   | 0.1474          | 0.9663   | 0.7308 | 0.8636   | 0.6333      | 0.9179       |
+| 0.0919        | 3.0   | 78   | 0.1561          | 0.9615   | 0.7037 | 0.8636   | 0.5938      | 0.9153       |
+
+
+### 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 sha256:6967110a4f9bd206361bf8d7e78b36332fd8d78a5996540f6ab0266c4c24a626
+oid sha256:b0ccacf80880180e99f884903d76cc958563e8ea225600f4a47c14bb9ef3e3aa
 size 669455360

runs/Jan22_21-48-24_bf5d572c1e11/events.out.tfevents.1737582505.bf5d572c1e11.1060.39

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a7e758220b6e8856ea7d11c9d900ebc30d28e0bab97c3b0660502a104862b1a0
-size 6027
+oid sha256:f7a88c82e45409001c68606e158f9473e66a2e0e04093e9cc97682dd64aff616
+size 7837