End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_english_bert_large_cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model183
+  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_model183
+
+This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5617
+- Accuracy: 0.9387
+- 1-f1: 0.4153
+- 1-recall: 0.4691
+- 1-precision: 0.3725
+- Balanced Acc: 0.7153
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.4219        | 1.0   | 110  | 0.3335          | 0.8991   | 0.4014 | 0.7284   | 0.2770      | 0.8179       |
+| 0.27          | 2.0   | 220  | 0.3800          | 0.9312   | 0.4444 | 0.5926   | 0.3556      | 0.7702       |
+| 0.1645        | 3.0   | 330  | 0.5617          | 0.9387   | 0.4153 | 0.4691   | 0.3725      | 0.7153       |
+
+
+### 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 sha256:735e97195b2ff1c48a28216fa1a88acd43cf8dd774f598c9780d540e0f9ecbba
+oid sha256:a594cc2d80be805a3c7b52aad21c2a04c1494aaea189b1ec1fd461ed53a31904
 size 1334372264

runs/Jan22_18-36-52_64064fb5fa07/events.out.tfevents.1737571013.64064fb5fa07.841.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:60d2fcbb424ed2fe9b6ea63715502a44d5e59c1e457390b5c5645df1b159650e
-size 9645
+oid sha256:5d91c7ee2de8e9f3ddde6e6b44afa1e1fb8abe4da6d22bb784db61971ceca74f
+size 9999