End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_english_bert_large_cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model192
+  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_model192
+
+This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5886
+- Accuracy: 0.9394
+- 1-f1: 0.4583
+- 1-recall: 0.4583
+- 1-precision: 0.4583
+- Balanced Acc: 0.7131
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.3654        | 1.0   | 54   | 0.4624          | 0.9231   | 0.4    | 0.4583   | 0.3548      | 0.7045       |
+| 0.3511        | 2.0   | 108  | 0.5656          | 0.9417   | 0.4444 | 0.4167   | 0.4762      | 0.6948       |
+| 0.1823        | 3.0   | 162  | 0.5886          | 0.9394   | 0.4583 | 0.4583   | 0.4583      | 0.7131       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan22_19-28-14_bf5d572c1e11/events.out.tfevents.1737574095.bf5d572c1e11.1060.10

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6210084b3c3797e928145f1cc32812f2f8bf391c83cbcaf43bd8bbb3584ce94
-size 6268
+oid sha256:a872ec672aa719d6e971291f2a93ee16c87cb8b700dcc14eb44af95875593e26
+size 8512