Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/bert_base_km_50_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_base_km_50_v1_stsb
+  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. -->
+
+# bert_base_km_50_v1_stsb
+
+This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5762
+- Pearson: 0.3056
+- Spearmanr: 0.3060
+- Combined Score: 0.3058
+
+## 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 | Pearson | Spearmanr | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 2.8402        | 1.0   | 23   | 2.4773          | 0.2068  | 0.2019    | 0.2043         |
+| 2.0586        | 2.0   | 46   | 2.2433          | 0.2277  | 0.2264    | 0.2270         |
+| 1.8469        | 3.0   | 69   | 2.1389          | 0.2763  | 0.2801    | 0.2782         |
+| 1.5476        | 4.0   | 92   | 2.3079          | 0.2832  | 0.2836    | 0.2834         |
+| 1.1654        | 5.0   | 115  | 2.3808          | 0.3015  | 0.3023    | 0.3019         |
+| 0.8754        | 6.0   | 138  | 2.5276          | 0.2769  | 0.2751    | 0.2760         |
+| 0.6215        | 7.0   | 161  | 2.4822          | 0.2907  | 0.2896    | 0.2901         |
+| 0.4911        | 8.0   | 184  | 2.5762          | 0.3056  | 0.3060    | 0.3058         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1745103009.s_005_m.2796520.12

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6ddfd55bbe8413c665fc7e7532894b7a257471f3fae38a2d00d18b7e5bfba59
-size 8806
+oid sha256:07389e0b8b4f9eafba527b720a0aa436c5d5068650cbf4dea6455bc0d379e52f
+size 10448

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43d75e34f527bcbaa0472c13791c2cda5faa39bad3090c1146f4cb2b56f68881
+oid sha256:9ccaa7f3f1eb75f4262f9c11efdd8b7d49b506514456d2e4ff9dcef4317dc364
 size 437950172