Model save

README.md

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+---
+base_model: Hartunka/tiny_bert_rand_50_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_rand_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. -->
+
+# tiny_bert_rand_50_v1_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v1](https://huggingface.co/Hartunka/tiny_bert_rand_50_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5000
+- Pearson: 0.2583
+- Spearmanr: 0.2613
+- Combined Score: 0.2598
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.4713        | 1.0   | 23   | 2.2569          | 0.1148  | 0.1121    | 0.1135         |
+| 2.0275        | 2.0   | 46   | 2.6622          | 0.0980  | 0.0770    | 0.0875         |
+| 1.8912        | 3.0   | 69   | 2.4156          | 0.1744  | 0.1615    | 0.1680         |
+| 1.6966        | 4.0   | 92   | 2.5946          | 0.2103  | 0.2119    | 0.2111         |
+| 1.4665        | 5.0   | 115  | 2.5630          | 0.2279  | 0.2358    | 0.2318         |
+| 1.2375        | 6.0   | 138  | 2.5000          | 0.2583  | 0.2613    | 0.2598         |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

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