Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/bert_base_rand_5_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_base_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. -->
+
+# bert_base_rand_5_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/bert_base_rand_5_v2](https://huggingface.co/Hartunka/bert_base_rand_5_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3745
+- Pearson: 0.3379
+- Spearmanr: 0.3323
+- Combined Score: 0.3351
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 2.6563        | 1.0   | 23   | 2.4689          | 0.0989  | 0.0822    | 0.0905         |
+| 1.8843        | 2.0   | 46   | 2.3163          | 0.1954  | 0.1619    | 0.1787         |
+| 1.6315        | 3.0   | 69   | 2.3652          | 0.2604  | 0.2509    | 0.2557         |
+| 1.2245        | 4.0   | 92   | 2.5702          | 0.2911  | 0.2862    | 0.2886         |
+| 0.8986        | 5.0   | 115  | 2.6825          | 0.2767  | 0.2655    | 0.2711         |
+| 0.6617        | 6.0   | 138  | 2.5122          | 0.3121  | 0.3040    | 0.3081         |
+| 0.5165        | 7.0   | 161  | 2.3745          | 0.3379  | 0.3323    | 0.3351         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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