---
library_name: transformers
language:
- en
base_model: Hartunka/bert_base_km_5_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_km_5_v1_stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE STSB
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.3215629379042137
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_km_5_v1_stsb

This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2394
- Pearson: 0.3227
- Spearmanr: 0.3216
- Combined Score: 0.3221

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.6517        | 1.0   | 23   | 2.3255          | 0.1330  | 0.1205    | 0.1268         |
| 1.9658        | 2.0   | 46   | 2.3461          | 0.2386  | 0.2286    | 0.2336         |
| 1.6725        | 3.0   | 69   | 2.4374          | 0.2424  | 0.2349    | 0.2387         |
| 1.2633        | 4.0   | 92   | 2.2394          | 0.3227  | 0.3216    | 0.3221         |
| 0.877         | 5.0   | 115  | 2.4882          | 0.3102  | 0.3147    | 0.3125         |
| 0.6898        | 6.0   | 138  | 2.4795          | 0.3147  | 0.3068    | 0.3107         |
| 0.4742        | 7.0   | 161  | 2.6675          | 0.2998  | 0.2927    | 0.2963         |
| 0.3676        | 8.0   | 184  | 2.3370          | 0.3624  | 0.3603    | 0.3614         |
| 0.3107        | 9.0   | 207  | 2.4862          | 0.3395  | 0.3334    | 0.3364         |


### Framework versions

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