Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/distilbert_km_20_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: distilbert_km_20_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. -->
+
+# distilbert_km_20_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/distilbert_km_20_v2](https://huggingface.co/Hartunka/distilbert_km_20_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5275
+- Pearson: 0.3115
+- Spearmanr: 0.3031
+- Combined Score: 0.3073
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.0221        | 1.0   | 23   | 2.3822          | 0.1214  | 0.1157    | 0.1185         |
+| 1.9542        | 2.0   | 46   | 2.4669          | 0.1764  | 0.1569    | 0.1666         |
+| 1.6966        | 3.0   | 69   | 2.2147          | 0.2748  | 0.2596    | 0.2672         |
+| 1.4275        | 4.0   | 92   | 2.3877          | 0.2652  | 0.2532    | 0.2592         |
+| 1.0925        | 5.0   | 115  | 2.5099          | 0.3043  | 0.2961    | 0.3002         |
+| 0.8164        | 6.0   | 138  | 2.4808          | 0.3246  | 0.3186    | 0.3216         |
+| 0.6226        | 7.0   | 161  | 2.4486          | 0.3349  | 0.3324    | 0.3336         |
+| 0.5022        | 8.0   | 184  | 2.5275          | 0.3115  | 0.3031    | 0.3073         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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