metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: gokulsrinivasagan/bert_base_train_book_ent_15p_s_init
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: bert_base_train_book_ent_15p_s_init_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics:
- name: Spearmanr
type: spearmanr
value: .nan
bert_base_train_book_ent_15p_s_init_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_s_init on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.3759
- Pearson: nan
- Spearmanr: nan
- Combined Score: nan
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 |
|---|---|---|---|---|---|---|
| 3.2768 | 1.0 | 23 | 2.3872 | nan | nan | nan |
| 2.2537 | 2.0 | 46 | 2.5971 | nan | nan | nan |
| 2.1653 | 3.0 | 69 | 2.4241 | nan | nan | nan |
| 2.1567 | 4.0 | 92 | 2.4241 | nan | nan | nan |
| 2.1568 | 5.0 | 115 | 2.3759 | nan | nan | nan |
| 2.1631 | 6.0 | 138 | 2.3759 | nan | nan | nan |
| 2.1703 | 7.0 | 161 | 2.4954 | nan | nan | nan |
| 2.1686 | 8.0 | 184 | 2.4954 | nan | nan | nan |
| 2.1553 | 9.0 | 207 | 2.4512 | nan | nan | nan |
| 2.1512 | 10.0 | 230 | 2.5971 | nan | nan | nan |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1