---
library_name: transformers
language:
- en
base_model: Hartunka/tiny_bert_rand_50_v2
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: tiny_bert_rand_50_v2_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.25802571079319986
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny_bert_rand_50_v2_stsb

This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v2](https://huggingface.co/Hartunka/tiny_bert_rand_50_v2) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2828
- Pearson: 0.2634
- Spearmanr: 0.2580
- Combined Score: 0.2607

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 3.577         | 1.0   | 23   | 2.3197          | 0.1206  | 0.1077    | 0.1142         |
| 2.0557        | 2.0   | 46   | 2.4031          | 0.1291  | 0.1249    | 0.1270         |
| 1.8854        | 3.0   | 69   | 2.3713          | 0.2039  | 0.1988    | 0.2013         |
| 1.7118        | 4.0   | 92   | 2.3258          | 0.2474  | 0.2463    | 0.2469         |
| 1.4486        | 5.0   | 115  | 2.2828          | 0.2634  | 0.2580    | 0.2607         |
| 1.2898        | 6.0   | 138  | 2.7080          | 0.2622  | 0.2744    | 0.2683         |
| 1.0578        | 7.0   | 161  | 2.6507          | 0.2815  | 0.2900    | 0.2857         |
| 0.8953        | 8.0   | 184  | 2.8633          | 0.2585  | 0.2633    | 0.2609         |
| 0.7584        | 9.0   | 207  | 3.1760          | 0.2421  | 0.2473    | 0.2447         |
| 0.6589        | 10.0  | 230  | 3.0019          | 0.2613  | 0.2697    | 0.2655         |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1