Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_km_5_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_km_5_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_5_v1_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v1](https://huggingface.co/Hartunka/tiny_bert_km_5_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3672
+- Pearson: 0.3179
+- Spearmanr: 0.3150
+- Combined Score: 0.3165
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.4235        | 1.0   | 23   | 2.2006          | 0.1612  | 0.1319    | 0.1465         |
+| 2.0135        | 2.0   | 46   | 2.5477          | 0.1697  | 0.1596    | 0.1647         |
+| 1.805         | 3.0   | 69   | 2.3100          | 0.2644  | 0.2564    | 0.2604         |
+| 1.566         | 4.0   | 92   | 2.4053          | 0.2841  | 0.2818    | 0.2829         |
+| 1.3172        | 5.0   | 115  | 2.4674          | 0.2893  | 0.2873    | 0.2883         |
+| 1.1328        | 6.0   | 138  | 2.3672          | 0.3179  | 0.3150    | 0.3165         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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