Model save

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_km_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tiny_bert_km_10_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. -->
+
+# tiny_bert_km_10_v1_mrpc
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_10_v1](https://huggingface.co/Hartunka/tiny_bert_km_10_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0956
+- Accuracy: 0.6225
+- F1: 0.7148
+- Combined Score: 0.6687
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6324        | 1.0   | 15   | 0.6063          | 0.7108   | 0.8223 | 0.7665         |
+| 0.596         | 2.0   | 30   | 0.5934          | 0.7034   | 0.8191 | 0.7613         |
+| 0.5663        | 3.0   | 45   | 0.5923          | 0.7083   | 0.8200 | 0.7642         |
+| 0.5449        | 4.0   | 60   | 0.5893          | 0.7010   | 0.8032 | 0.7521         |
+| 0.4957        | 5.0   | 75   | 0.6304          | 0.6569   | 0.75   | 0.7034         |
+| 0.4356        | 6.0   | 90   | 0.6516          | 0.6936   | 0.7871 | 0.7403         |
+| 0.3509        | 7.0   | 105  | 0.7439          | 0.6887   | 0.7908 | 0.7397         |
+| 0.2548        | 8.0   | 120  | 0.8600          | 0.6618   | 0.7553 | 0.7085         |
+| 0.1693        | 9.0   | 135  | 1.0956          | 0.6225   | 0.7148 | 0.6687         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744632974.s_005_m.2701049.20

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e1db61364efec15fd06eebf76132a1cf0c80488f12949647ab5fb4d6e8d0848
-size 8118
+oid sha256:a54d0b7bfed9621a46031cfd7769af4c63e85870ee6e2d322124fc1a0df1ddda
+size 10988

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7efac9048cf53fd721c9e64c83a4e54aa739421733bf0f1202ccfc65ed4f3eb2
+oid sha256:c73641c8d796dbc37b9317c557b21d023d457eb7ec18c109215c60dafd2ba441
 size 131856744