Model save

README.md

@@ -0,0 +1,70 @@
+---
+base_model: Hartunka/tiny_bert_km_100_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tiny_bert_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. -->
+
+# tiny_bert_km_100_v1_mrpc
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_100_v1](https://huggingface.co/Hartunka/tiny_bert_km_100_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9716
+- Accuracy: 0.6593
+- F1: 0.7440
+- Combined Score: 0.7017
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6262        | 1.0   | 15   | 0.6086          | 0.6961   | 0.8063 | 0.7512         |
+| 0.599         | 2.0   | 30   | 0.6000          | 0.7034   | 0.8191 | 0.7613         |
+| 0.5725        | 3.0   | 45   | 0.5969          | 0.7059   | 0.8176 | 0.7618         |
+| 0.5494        | 4.0   | 60   | 0.5885          | 0.7230   | 0.8198 | 0.7714         |
+| 0.5073        | 5.0   | 75   | 0.6107          | 0.6863   | 0.7808 | 0.7335         |
+| 0.4408        | 6.0   | 90   | 0.6365          | 0.7010   | 0.7939 | 0.7474         |
+| 0.3565        | 7.0   | 105  | 0.7095          | 0.7108   | 0.8013 | 0.7561         |
+| 0.2434        | 8.0   | 120  | 0.8137          | 0.7034   | 0.7939 | 0.7486         |
+| 0.1755        | 9.0   | 135  | 0.9716          | 0.6593   | 0.7440 | 0.7017         |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

logs/events.out.tfevents.1744818220.s_004_m

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2a04039e98c99016453e985b8627e4673e7ed6ffbc93b3eb589446aad0291826
-size 9244
+oid sha256:dc4f9ab7bd0419eedfcff8d22fee75cefa993faff7469b65513f950e53223961
+size 10655

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf1330e26b2bb0adf7b89311e2b0981b4dc6f5c23147d9da5e1d601b29356107
+oid sha256:80b51c3022dd1ed65bfd81b6211f8ec3468b98c774700b3f0f46ea275b602386
 size 131856744