End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_multilingual_bert_uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model214
+  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_model214
+
+This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3463
+- Accuracy: 0.9004
+- 1-f1: 0.5049
+- 1-recall: 0.7879
+- 1-precision: 0.3714
+- Balanced Acc: 0.8480
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.3031        | 1.0   | 32   | 0.3905          | 0.7871   | 0.3699 | 0.9697   | 0.2286      | 0.8721       |
+| 0.2836        | 2.0   | 64   | 0.3292          | 0.8945   | 0.4906 | 0.7879   | 0.3562      | 0.8449       |
+| 0.1849        | 3.0   | 96   | 0.3463          | 0.9004   | 0.5049 | 0.7879   | 0.3714      | 0.8480       |
+
+
+### 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 sha256:058bfbcdf07ae0b25ad767d5c94c3fde15d02235640abbdddb3913369b2bfab8
+oid sha256:8d30b60a6502f31384a15d53249f72f5dfa2415f2295b9d840073c101809a52d
 size 669455360

runs/Jan22_21-31-17_bf5d572c1e11/events.out.tfevents.1737581478.bf5d572c1e11.1060.32

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d7a0a010a3a7028bb0626d9d3f795274fee87ca0ea3a50d5e73e476eaa9c312f
-size 6027
+oid sha256:c26279e6219eb43dc738dc376bd07899e78d8d86a8cbfbcd20134731cbdce2ed
+size 7837