Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_100_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_rand_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_rand_100_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v2](https://huggingface.co/Hartunka/tiny_bert_rand_100_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0193
+- Pearson: 0.2305
+- Spearmanr: 0.2377
+- Combined Score: 0.2341
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.0934        | 1.0   | 23   | 2.4179          | 0.1274  | 0.1252    | 0.1263         |
+| 2.0262        | 2.0   | 46   | 2.8227          | 0.0906  | 0.0700    | 0.0803         |
+| 1.8632        | 3.0   | 69   | 2.3571          | 0.1904  | 0.1746    | 0.1825         |
+| 1.6504        | 4.0   | 92   | 2.4674          | 0.2405  | 0.2359    | 0.2382         |
+| 1.376         | 5.0   | 115  | 2.4109          | 0.2443  | 0.2405    | 0.2424         |
+| 1.1686        | 6.0   | 138  | 2.5538          | 0.2573  | 0.2599    | 0.2586         |
+| 0.9782        | 7.0   | 161  | 2.6227          | 0.2622  | 0.2656    | 0.2639         |
+| 0.8135        | 8.0   | 184  | 3.0193          | 0.2305  | 0.2377    | 0.2341         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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