metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: bert-base-uncased-finetuned-stsb
results: []
bert-base-uncased-finetuned-stsb
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Combined Score: 0.8836
- Loss: 0.5010
- Pearson: 0.8856
- Spearmanr: 0.8816
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Combined Score | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|---|
| 1.1212 | 1.0 | 360 | 0.8776 | 0.5732 | 0.8790 | 0.8762 |
| 0.4308 | 2.0 | 720 | 0.8795 | 0.5607 | 0.8813 | 0.8777 |
| 0.2947 | 3.0 | 1080 | 0.8836 | 0.5010 | 0.8856 | 0.8816 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1