Model save

README.md

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+---
+base_model: Hartunka/tiny_bert_rand_100_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_rand_100_v1_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_100_v1_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v1](https://huggingface.co/Hartunka/tiny_bert_rand_100_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8235
+- Pearson: 0.2652
+- Spearmanr: 0.2718
+- Combined Score: 0.2685
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.4483        | 1.0   | 23   | 2.3146          | 0.1677  | 0.1464    | 0.1571         |
+| 2.0255        | 2.0   | 46   | 2.5450          | 0.1168  | 0.1085    | 0.1126         |
+| 1.8523        | 3.0   | 69   | 2.3148          | 0.2202  | 0.2082    | 0.2142         |
+| 1.6156        | 4.0   | 92   | 2.3427          | 0.2703  | 0.2679    | 0.2691         |
+| 1.3454        | 5.0   | 115  | 2.2768          | 0.2798  | 0.2764    | 0.2781         |
+| 1.1616        | 6.0   | 138  | 2.6384          | 0.2686  | 0.2783    | 0.2734         |
+| 0.9734        | 7.0   | 161  | 2.4772          | 0.2823  | 0.2840    | 0.2831         |
+| 0.8406        | 8.0   | 184  | 2.8826          | 0.2435  | 0.2540    | 0.2487         |
+| 0.7077        | 9.0   | 207  | 2.9091          | 0.2461  | 0.2524    | 0.2493         |
+| 0.6149        | 10.0  | 230  | 2.8235          | 0.2652  | 0.2718    | 0.2685         |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

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