End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_english_bert_base_cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model174
+  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_model174
+
+This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4467
+- Accuracy: 0.9634
+- 1-f1: 0.4364
+- 1-recall: 0.4138
+- 1-precision: 0.4615
+- Balanced Acc: 0.6983
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.3414        | 1.0   | 53   | 0.3063          | 0.9422   | 0.3467 | 0.4483   | 0.2826      | 0.7040       |
+| 0.2314        | 2.0   | 106  | 0.4010          | 0.9587   | 0.4068 | 0.4138   | 0.4         | 0.6959       |
+| 0.2121        | 3.0   | 159  | 0.4467          | 0.9634   | 0.4364 | 0.4138   | 0.4615      | 0.6983       |
+
+
+### 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 sha256:5b0b2984f00c1fb0a0babc149f3c85d886b2e398882733f896e29609150f82c5
+oid sha256:d462c06da104de403095da6c59d6324e382012feb5109443cc3c5ac1a66109ad
 size 433270768

runs/Jan22_06-29-51_f98732f77a19/events.out.tfevents.1737527462.f98732f77a19.506.57

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:743636ae363a9c66a20cad8b04420f4d3da4119267801f370d4411c859bd5ec5
-size 7965
+oid sha256:a32806ec20ea05d8a4d61663dc50d599ce4003acfd584d5800eac33930639aa0
+size 8319