Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/bert_base_km_10_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_base_km_10_v2_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_10_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/bert_base_km_10_v2](https://huggingface.co/Hartunka/bert_base_km_10_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6657
+- Pearson: 0.3060
+- Spearmanr: 0.3096
+- Combined Score: 0.3078
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 2.711         | 1.0   | 23   | 2.3545          | 0.1112  | 0.1020    | 0.1066         |
+| 1.9988        | 2.0   | 46   | 2.2654          | 0.2097  | 0.1923    | 0.2010         |
+| 1.8048        | 3.0   | 69   | 2.2942          | 0.2306  | 0.2124    | 0.2215         |
+| 1.5374        | 4.0   | 92   | 2.5475          | 0.2700  | 0.2536    | 0.2618         |
+| 1.2573        | 5.0   | 115  | 2.6120          | 0.2696  | 0.2640    | 0.2668         |
+| 0.9617        | 6.0   | 138  | 2.5692          | 0.2949  | 0.2881    | 0.2915         |
+| 0.7474        | 7.0   | 161  | 2.6657          | 0.3060  | 0.3096    | 0.3078         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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