Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/distilbert_km_100_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert_km_100_v1_mrpc
+  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_100_v1_mrpc
+
+This model is a fine-tuned version of [Hartunka/distilbert_km_100_v1](https://huggingface.co/Hartunka/distilbert_km_100_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0242
+- Accuracy: 0.6299
+- F1: 0.7209
+- Combined Score: 0.6754
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6209        | 1.0   | 15   | 0.6128          | 0.6985   | 0.8099 | 0.7542         |
+| 0.5773        | 2.0   | 30   | 0.6028          | 0.7010   | 0.8146 | 0.7578         |
+| 0.5229        | 3.0   | 45   | 0.6116          | 0.7108   | 0.8173 | 0.7641         |
+| 0.466         | 4.0   | 60   | 0.6474          | 0.6765   | 0.7692 | 0.7229         |
+| 0.3626        | 5.0   | 75   | 0.6890          | 0.6716   | 0.7657 | 0.7187         |
+| 0.2312        | 6.0   | 90   | 0.9258          | 0.5980   | 0.6858 | 0.6419         |
+| 0.1407        | 7.0   | 105  | 1.0242          | 0.6299   | 0.7209 | 0.6754         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744693796.s_005_m.602156.74

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b604381164980e896124831c0a696e922b7927c986f04aea41cc3e8cdec1efe0
-size 8128
+oid sha256:fc083e93fdf4247b9e8c5c03ffc15b234b5c31c4b0a28da7422f3827fa82869a
+size 9728

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1999ab55e7d48ed32e03a39fe36a56d0ab4d6f818d05b058ed606b8f8f1ffa69
+oid sha256:3703152bd441364e915235b04ed849982818b12c61a6e2ef1a036303f3fe2f70
 size 267832560