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_model160
+  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_model160
+
+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: 0.3842
+- Accuracy: 0.8593
+- 1-f1: 0.4651
+- 1-recall: 0.7692
+- 1-precision: 0.3333
+- Balanced Acc: 0.8182
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| No log        | 1.0   | 21   | 0.4358          | 0.8869   | 0.4478 | 0.5769   | 0.3659      | 0.7453       |
+| 0.4882        | 2.0   | 42   | 0.4178          | 0.8838   | 0.4571 | 0.6154   | 0.3636      | 0.7612       |
+| 0.3277        | 3.0   | 63   | 0.3842          | 0.8593   | 0.4651 | 0.7692   | 0.3333      | 0.8182       |
+
+
+### 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 sha256:2b3a232c0bdc94eee2ac431d92e5d2ecd9a29af483fcf472abc0067e76d62981
+oid sha256:87f90d68602b3af152f7c8d4de2fcec5b0a114f67041c43759972b4cd4c0331c
 size 433270768

runs/Jan22_05-35-40_f98732f77a19/events.out.tfevents.1737524142.f98732f77a19.506.43

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc50c0f7da08c52217976d137719cf354149637dc4cd1340c56010bd7c320b17
-size 5868
+oid sha256:f02ebfe6ae6bf2b7b0a17b52fabf0f960223e8834ae778c19fa296ad8e786497
+size 7471