Model save

README.md

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+---
+base_model: Hartunka/tiny_bert_km_100_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_km_100_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_100_v1_stsb
+
+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: 2.3234
+- Pearson: 0.2691
+- Spearmanr: 0.2705
+- Combined Score: 0.2698
+
+## 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 | Pearson | Spearmanr | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.7897        | 1.0   | 23   | 2.2017          | 0.1983  | 0.1756    | 0.1870         |
+| 2.1293        | 2.0   | 46   | 2.2599          | 0.2062  | 0.1845    | 0.1953         |
+| 1.9869        | 3.0   | 69   | 2.3074          | 0.1839  | 0.1590    | 0.1715         |
+| 1.8494        | 4.0   | 92   | 2.3755          | 0.2103  | 0.1966    | 0.2034         |
+| 1.62          | 5.0   | 115  | 2.3458          | 0.2589  | 0.2531    | 0.2560         |
+| 1.4033        | 6.0   | 138  | 2.3234          | 0.2691  | 0.2705    | 0.2698         |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

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