---
library_name: transformers
language:
- en
base_model: Hartunka/bert_base_rand_10_v2
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_rand_10_v2_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.27121376913207584
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_rand_10_v2_stsb

This model is a fine-tuned version of [Hartunka/bert_base_rand_10_v2](https://huggingface.co/Hartunka/bert_base_rand_10_v2) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3000
- Pearson: 0.2717
- Spearmanr: 0.2712
- Combined Score: 0.2714

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.6698        | 1.0   | 23   | 2.3702          | 0.1154  | 0.0941    | 0.1048         |
| 1.9073        | 2.0   | 46   | 2.5553          | 0.1762  | 0.1591    | 0.1676         |
| 1.7118        | 3.0   | 69   | 2.5235          | 0.1830  | 0.1931    | 0.1880         |
| 1.3839        | 4.0   | 92   | 2.3000          | 0.2717  | 0.2712    | 0.2714         |
| 1.0676        | 5.0   | 115  | 2.6445          | 0.2323  | 0.2322    | 0.2322         |
| 0.8664        | 6.0   | 138  | 2.7314          | 0.2522  | 0.2583    | 0.2552         |
| 0.6989        | 7.0   | 161  | 2.6691          | 0.2727  | 0.2750    | 0.2738         |
| 0.568         | 8.0   | 184  | 2.8615          | 0.2635  | 0.2681    | 0.2658         |
| 0.4705        | 9.0   | 207  | 2.7113          | 0.2554  | 0.2386    | 0.2470         |


### Framework versions

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