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library_name: transformers
language:
- en
base_model: Hartunka/bert_base_rand_20_v2
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_rand_20_v2_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics:
- name: Spearmanr
type: spearmanr
value: 0.130409205353067
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_base_rand_20_v2_stsb
This model is a fine-tuned version of [Hartunka/bert_base_rand_20_v2](https://huggingface.co/Hartunka/bert_base_rand_20_v2) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2506
- Pearson: 0.1529
- Spearmanr: 0.1304
- Combined Score: 0.1417
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.5065 | 1.0 | 23 | 2.2506 | 0.1529 | 0.1304 | 0.1417 |
| 1.8387 | 2.0 | 46 | 2.3273 | 0.2111 | 0.1961 | 0.2036 |
| 1.5726 | 3.0 | 69 | 2.3812 | 0.2627 | 0.2574 | 0.2600 |
| 1.2262 | 4.0 | 92 | 2.3091 | 0.3068 | 0.3049 | 0.3058 |
| 0.9898 | 5.0 | 115 | 2.5821 | 0.3066 | 0.3007 | 0.3036 |
| 0.8069 | 6.0 | 138 | 2.8197 | 0.2832 | 0.2837 | 0.2835 |
### Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1
|