Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/bert_base_rand_50_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: bert_base_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. -->
+
+# bert_base_rand_50_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/bert_base_rand_50_v2](https://huggingface.co/Hartunka/bert_base_rand_50_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7038
+- Pearson: 0.3280
+- Spearmanr: 0.3296
+- Combined Score: 0.3288
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 2.7742        | 1.0   | 23   | 2.6998          | 0.1242  | 0.1041    | 0.1142         |
+| 1.9014        | 2.0   | 46   | 2.2005          | 0.2317  | 0.2121    | 0.2219         |
+| 1.647         | 3.0   | 69   | 2.1775          | 0.3055  | 0.2921    | 0.2988         |
+| 1.2684        | 4.0   | 92   | 2.2438          | 0.3100  | 0.2998    | 0.3049         |
+| 0.9726        | 5.0   | 115  | 2.6894          | 0.2978  | 0.2932    | 0.2955         |
+| 0.7533        | 6.0   | 138  | 2.5985          | 0.3103  | 0.3100    | 0.3101         |
+| 0.5559        | 7.0   | 161  | 2.5141          | 0.3397  | 0.3405    | 0.3401         |
+| 0.4489        | 8.0   | 184  | 2.7038          | 0.3280  | 0.3296    | 0.3288         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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