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_model239
+  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_model239
+
+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: 0.2997
+- Accuracy: 0.9363
+- 1-f1: 0.5352
+- 1-recall: 0.7308
+- 1-precision: 0.4222
+- Balanced Acc: 0.8390
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.302         | 1.0   | 33   | 0.2425          | 0.9131   | 0.4828 | 0.8077   | 0.3443      | 0.8632       |
+| 0.239         | 2.0   | 66   | 0.6023          | 0.9710   | 0.6512 | 0.5385   | 0.8235      | 0.7662       |
+| 0.2682        | 3.0   | 99   | 0.2997          | 0.9363   | 0.5352 | 0.7308   | 0.4222      | 0.8390       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan22_22-30-30_bf5d572c1e11/events.out.tfevents.1737585031.bf5d572c1e11.1060.57

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de922e443721019a269baf686dc8bdf94836026ac5acb8e2c180e5a00b90dfd0
-size 6027
+oid sha256:da7ac7b73b8b6fcc846fbc76689be85ae18cb562f43d1462fa6a3aacd764db9a
+size 7837