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_model175
+  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_model175
+
+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: 0.3519
+- Accuracy: 0.8885
+- 1-f1: 0.2989
+- 1-recall: 0.5652
+- 1-precision: 0.2031
+- Balanced Acc: 0.7339
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.4828        | 1.0   | 35   | 0.3596          | 0.8665   | 0.3048 | 0.6957   | 0.1951      | 0.7848       |
+| 0.4003        | 2.0   | 70   | 0.3760          | 0.9159   | 0.2812 | 0.3913   | 0.2195      | 0.6651       |
+| 0.2976        | 3.0   | 105  | 0.3519          | 0.8885   | 0.2989 | 0.5652   | 0.2031      | 0.7339       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan22_06-32-49_f98732f77a19/events.out.tfevents.1737527570.f98732f77a19.506.58

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5fcd38e7c1c94b444e783442d505c1eff8d637d05930085e3b996b39279c1c2d
-size 7537
+oid sha256:e2c1478fb8a6e271352a36aa91f91b68d4127a74d8c95ab6713e6036c0d481d4
+size 7885