Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_km_100_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_km_100_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_km_100_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_100_v2](https://huggingface.co/Hartunka/tiny_bert_km_100_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5968
+- Pearson: 0.3135
+- Spearmanr: 0.3117
+- Combined Score: 0.3126
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.6374        | 1.0   | 23   | 2.2224          | 0.1110  | 0.1009    | 0.1060         |
+| 2.0858        | 2.0   | 46   | 2.5104          | 0.1490  | 0.1353    | 0.1422         |
+| 1.9616        | 3.0   | 69   | 2.2581          | 0.1995  | 0.1781    | 0.1888         |
+| 1.8487        | 4.0   | 92   | 2.3268          | 0.2449  | 0.2255    | 0.2352         |
+| 1.6866        | 5.0   | 115  | 2.4420          | 0.2440  | 0.2279    | 0.2359         |
+| 1.5138        | 6.0   | 138  | 2.2118          | 0.3037  | 0.2928    | 0.2983         |
+| 1.2926        | 7.0   | 161  | 2.4205          | 0.3232  | 0.3177    | 0.3204         |
+| 1.0946        | 8.0   | 184  | 2.5488          | 0.3149  | 0.3092    | 0.3121         |
+| 0.9053        | 9.0   | 207  | 2.5821          | 0.3028  | 0.2994    | 0.3011         |
+| 0.7569        | 10.0  | 230  | 2.5048          | 0.3204  | 0.3157    | 0.3180         |
+| 0.6373        | 11.0  | 253  | 2.5968          | 0.3135  | 0.3117    | 0.3126         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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