Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_50_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_rand_50_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. -->
+
+# tiny_bert_rand_50_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v2](https://huggingface.co/Hartunka/tiny_bert_rand_50_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0019
+- Pearson: 0.2613
+- Spearmanr: 0.2697
+- Combined Score: 0.2655
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.577         | 1.0   | 23   | 2.3197          | 0.1206  | 0.1077    | 0.1142         |
+| 2.0557        | 2.0   | 46   | 2.4031          | 0.1291  | 0.1249    | 0.1270         |
+| 1.8854        | 3.0   | 69   | 2.3713          | 0.2039  | 0.1988    | 0.2013         |
+| 1.7118        | 4.0   | 92   | 2.3258          | 0.2474  | 0.2463    | 0.2469         |
+| 1.4486        | 5.0   | 115  | 2.2828          | 0.2634  | 0.2580    | 0.2607         |
+| 1.2898        | 6.0   | 138  | 2.7080          | 0.2622  | 0.2744    | 0.2683         |
+| 1.0578        | 7.0   | 161  | 2.6507          | 0.2815  | 0.2900    | 0.2857         |
+| 0.8953        | 8.0   | 184  | 2.8633          | 0.2585  | 0.2633    | 0.2609         |
+| 0.7584        | 9.0   | 207  | 3.1760          | 0.2421  | 0.2473    | 0.2447         |
+| 0.6589        | 10.0  | 230  | 3.0019          | 0.2613  | 0.2697    | 0.2655         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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