---
language:
- en
base_model: Hartunka/tiny_bert_rand_100_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: tiny_bert_rand_100_v1_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.2763743043991294
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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 the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2768
- Pearson: 0.2798
- Spearmanr: 0.2764
- Combined Score: 0.2781

## 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