---
language:
- en
base_model: Hartunka/tiny_bert_rand_50_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: tiny_bert_rand_50_v1_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.11211697376930498
---

<!-- 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_v1_stsb

This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v1](https://huggingface.co/Hartunka/tiny_bert_rand_50_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2569
- Pearson: 0.1148
- Spearmanr: 0.1121
- Combined Score: 0.1135

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 3.4713        | 1.0   | 23   | 2.2569          | 0.1148  | 0.1121    | 0.1135         |
| 2.0275        | 2.0   | 46   | 2.6622          | 0.0980  | 0.0770    | 0.0875         |
| 1.8912        | 3.0   | 69   | 2.4156          | 0.1744  | 0.1615    | 0.1680         |
| 1.6966        | 4.0   | 92   | 2.5946          | 0.2103  | 0.2119    | 0.2111         |
| 1.4665        | 5.0   | 115  | 2.5630          | 0.2279  | 0.2358    | 0.2318         |
| 1.2375        | 6.0   | 138  | 2.5000          | 0.2583  | 0.2613    | 0.2598         |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.19.1