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_model150
+  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_model150
+
+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: 0.4365
+- Accuracy: 0.8848
+- 1-f1: 0.4052
+- 1-recall: 0.6667
+- 1-precision: 0.2910
+- Balanced Acc: 0.7825
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.4151        | 1.0   | 176  | 0.4068          | 0.8676   | 0.3614 | 0.6364   | 0.2524      | 0.7592       |
+| 0.3693        | 2.0   | 352  | 0.4036          | 0.8131   | 0.3247 | 0.7636   | 0.2062      | 0.7899       |
+| 0.321         | 3.0   | 528  | 0.4365          | 0.8848   | 0.4052 | 0.6667   | 0.2910      | 0.7825       |
+
+
+### 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 sha256:43059f7c4617c906393617c1bf4963f70e1dbe36513f3bcdf7dc861f3626d1f2
+oid sha256:fce6543005fe1369e1b3e59fe113fbe778fd836b8ff106af9470c2dc590a5951
 size 433270768

runs/Jan22_05-11-38_f98732f77a19/events.out.tfevents.1737522700.f98732f77a19.506.33

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51c3a3f039e8edf5682e6b64b248b4c12ca5b7b5a0ff2737adcc64e2e29f50a1
-size 10593
+oid sha256:001e5a60595605a9bb029b9eca0a28be89617e98b96c9f5df42d756936181234
+size 11481