Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_5_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_rand_5_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_5_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_5_v2](https://huggingface.co/Hartunka/tiny_bert_rand_5_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5902
+- Pearson: 0.2925
+- Spearmanr: 0.2950
+- Combined Score: 0.2938
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.1743        | 1.0   | 23   | 2.2973          | 0.1229  | 0.1070    | 0.1149         |
+| 2.0355        | 2.0   | 46   | 2.5679          | 0.1150  | 0.1022    | 0.1086         |
+| 1.8438        | 3.0   | 69   | 2.2907          | 0.2162  | 0.2034    | 0.2098         |
+| 1.6639        | 4.0   | 92   | 2.3388          | 0.2725  | 0.2702    | 0.2714         |
+| 1.3815        | 5.0   | 115  | 2.3873          | 0.2710  | 0.2714    | 0.2712         |
+| 1.1561        | 6.0   | 138  | 2.3997          | 0.2922  | 0.2918    | 0.2920         |
+| 0.9378        | 7.0   | 161  | 2.4841          | 0.3049  | 0.3078    | 0.3064         |
+| 0.7814        | 8.0   | 184  | 2.5902          | 0.2925  | 0.2950    | 0.2938         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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