Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_km_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_km_10_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. -->
+
+# tiny_bert_km_10_v1_stsb
+
+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: 2.5622
+- Pearson: 0.2510
+- Spearmanr: 0.2461
+- Combined Score: 0.2486
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.5394        | 1.0   | 23   | 2.2270          | 0.1335  | 0.1376    | 0.1356         |
+| 2.1228        | 2.0   | 46   | 2.2859          | 0.1504  | 0.1751    | 0.1628         |
+| 1.9666        | 3.0   | 69   | 2.3973          | 0.1837  | 0.1858    | 0.1847         |
+| 1.849         | 4.0   | 92   | 2.5343          | 0.1894  | 0.1721    | 0.1808         |
+| 1.6195        | 5.0   | 115  | 2.6200          | 0.2320  | 0.2260    | 0.2290         |
+| 1.4318        | 6.0   | 138  | 2.5622          | 0.2510  | 0.2461    | 0.2486         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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