---
library_name: transformers
language:
- en
base_model: Hartunka/bert_base_rand_50_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_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: 0.25999577762490267
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_rand_50_v1_stsb

This model is a fine-tuned version of [Hartunka/bert_base_rand_50_v1](https://huggingface.co/Hartunka/bert_base_rand_50_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2715
- Pearson: 0.2635
- Spearmanr: 0.2600
- Combined Score: 0.2618

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 3.0174        | 1.0   | 23   | 2.9030          | 0.0773  | 0.0674    | 0.0724         |
| 2.0319        | 2.0   | 46   | 2.4340          | 0.1690  | 0.1495    | 0.1593         |
| 1.7905        | 3.0   | 69   | 2.3889          | 0.2034  | 0.1918    | 0.1976         |
| 1.467         | 4.0   | 92   | 2.2715          | 0.2635  | 0.2600    | 0.2618         |
| 1.1681        | 5.0   | 115  | 2.4279          | 0.2436  | 0.2402    | 0.2419         |
| 1.0229        | 6.0   | 138  | 2.8679          | 0.2669  | 0.2723    | 0.2696         |
| 0.7645        | 7.0   | 161  | 2.5480          | 0.2725  | 0.2734    | 0.2730         |
| 0.6161        | 8.0   | 184  | 2.8213          | 0.2753  | 0.2854    | 0.2804         |
| 0.4918        | 9.0   | 207  | 2.5409          | 0.2620  | 0.2639    | 0.2630         |


### Framework versions

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