Model save

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+base_model: Hartunka/distilbert_km_50_v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert_km_50_v2_qqp
+  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. -->
+
+# distilbert_km_50_v2_qqp
+
+This model is a fine-tuned version of [Hartunka/distilbert_km_50_v2](https://huggingface.co/Hartunka/distilbert_km_50_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5893
+- Accuracy: 0.8175
+- F1: 0.7745
+- Combined Score: 0.7960
+
+## 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: 5e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.4934        | 1.0   | 1422  | 0.4472          | 0.7875   | 0.6736 | 0.7305         |
+| 0.3917        | 2.0   | 2844  | 0.4066          | 0.8074   | 0.7469 | 0.7771         |
+| 0.3258        | 3.0   | 4266  | 0.4002          | 0.8211   | 0.7657 | 0.7934         |
+| 0.2714        | 4.0   | 5688  | 0.4483          | 0.8259   | 0.7468 | 0.7864         |
+| 0.2229        | 5.0   | 7110  | 0.4273          | 0.8319   | 0.7625 | 0.7972         |
+| 0.1825        | 6.0   | 8532  | 0.4705          | 0.8315   | 0.7733 | 0.8024         |
+| 0.1499        | 7.0   | 9954  | 0.5388          | 0.8342   | 0.7775 | 0.8058         |
+| 0.1219        | 8.0   | 11376 | 0.5893          | 0.8175   | 0.7745 | 0.7960         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1745331113.s_005_m.2850345.60

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5e8d8e0ef8603657e55a13773387e4e4325f8d6a0346f5708150fa9922d9068
-size 9452
+oid sha256:4b5bdca3605fa764031aad7544cef91e156500316d751f1bad8c15ffd23538fa
+size 10444

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4941e580f8692519536f2050ef86abab609ef303c9cfbd84e6d212313564517
+oid sha256:f7a004d21a44ad464f19b258ff48e6e342aa5daa8042b18fd07c8736ef6463c4
 size 267832560