End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_english_bert_base_uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model009
+  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_model009
+
+This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4142
+- Accuracy: 0.8950
+- 1-f1: 0.3623
+- 1-recall: 0.6310
+- 1-precision: 0.2541
+- Balanced Acc: 0.7696
+
+## 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: 128
+- eval_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.3999        | 1.0   | 452  | 0.3837          | 0.8690   | 0.3228 | 0.6603   | 0.2136      | 0.7698       |
+| 0.3125        | 2.0   | 904  | 0.3849          | 0.8742   | 0.3485 | 0.7116   | 0.2308      | 0.7969       |
+| 0.2713        | 3.0   | 1356 | 0.4142          | 0.8950   | 0.3623 | 0.6310   | 0.2541      | 0.7696       |
+
+
+### 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 sha256:9bfb241183ea0f49d0bd0e2412a2e343cebebfa80fdffed2a1275d50e9f10749
+oid sha256:91f9706cd8d274bfa15323436e973a6b2a6cab142492534019e5bd7cba0aa859
 size 437958648

runs/Jan22_02-27-55_982287c96458/events.out.tfevents.1737512876.982287c96458.3550.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:776cbb96fef2123296332daa8883e803db45702ea6e98e588155899697913e07
-size 17560
+oid sha256:de6c158f15409cd0703a7371011fcb7060c96ac27bd75f428c9c3e15c579d6e1
+size 18448