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_model191
+  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_model191
+
+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: 0.3924
+- Accuracy: 0.9519
+- 1-f1: 0.6
+- 1-recall: 0.6818
+- 1-precision: 0.5357
+- Balanced Acc: 0.8244
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.4009        | 1.0   | 52   | 0.3835          | 0.9591   | 0.5641 | 0.5      | 0.6471      | 0.7424       |
+| 0.2682        | 2.0   | 104  | 0.3020          | 0.9303   | 0.5246 | 0.7273   | 0.4103      | 0.8344       |
+| 0.1944        | 3.0   | 156  | 0.3924          | 0.9519   | 0.6    | 0.6818   | 0.5357      | 0.8244       |
+
+
+### 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 sha256:233249e01750e3fa803c9691c212fe7985b882cbc26be6c6e24814fc6bdf6ff6
+oid sha256:167b4ae9ff82ab924982c13357146840c2a36219c85e021d1f8112e4d3326747
 size 1334372264

runs/Jan22_19-24-26_bf5d572c1e11/events.out.tfevents.1737573867.bf5d572c1e11.1060.9

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:503ba4d3ff1b41f29829ea0277b652d7aa5eda8eee0dcf84fe562594f2a71301
-size 6268
+oid sha256:0b65e60c938635dc31ebec57382259d658c8b36b9c1693704702718ae50c5934
+size 8512