---
library_name: transformers
language:
- en
base_model: Hartunka/distilbert_rand_10_v2
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: distilbert_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: 0.3015093929726957
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_rand_10_v2_stsb

This model is a fine-tuned version of [Hartunka/distilbert_rand_10_v2](https://huggingface.co/Hartunka/distilbert_rand_10_v2) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2101
- Pearson: 0.3094
- Spearmanr: 0.3015
- Combined Score: 0.3055

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.7267        | 1.0   | 23   | 2.4802          | 0.1260  | 0.1086    | 0.1173         |
| 1.9118        | 2.0   | 46   | 2.4211          | 0.2286  | 0.2110    | 0.2198         |
| 1.6277        | 3.0   | 69   | 2.2101          | 0.3094  | 0.3015    | 0.3055         |
| 1.3088        | 4.0   | 92   | 2.2704          | 0.3073  | 0.3050    | 0.3062         |
| 1.0113        | 5.0   | 115  | 2.4404          | 0.3233  | 0.3195    | 0.3214         |
| 0.7442        | 6.0   | 138  | 2.2811          | 0.3766  | 0.3775    | 0.3770         |
| 0.5763        | 7.0   | 161  | 2.3778          | 0.3448  | 0.3449    | 0.3449         |
| 0.4382        | 8.0   | 184  | 2.5305          | 0.3544  | 0.3537    | 0.3541         |


### Framework versions

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