|
--- |
|
library_name: transformers |
|
language: |
|
- en |
|
base_model: gokulsrinivasagan/bert_base_lda_50_v1 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- spearmanr |
|
model-index: |
|
- name: bert_base_lda_50_v1_stsb |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: GLUE STSB |
|
type: glue |
|
args: stsb |
|
metrics: |
|
- name: Spearmanr |
|
type: spearmanr |
|
value: .nan |
|
--- |
|
|
|
<!-- 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_lda_50_v1_stsb |
|
|
|
This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on the GLUE STSB dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.2730 |
|
- 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: 0.001 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:| |
|
| 6.0649 | 1.0 | 23 | 2.3650 | nan | nan | nan | |
|
| 2.2353 | 2.0 | 46 | 2.9028 | nan | nan | nan | |
|
| 2.2088 | 3.0 | 69 | 2.2730 | nan | nan | nan | |
|
| 2.2442 | 4.0 | 92 | 2.3650 | nan | nan | nan | |
|
| 2.186 | 5.0 | 115 | 2.5441 | nan | nan | nan | |
|
| 2.2071 | 6.0 | 138 | 2.3354 | nan | nan | nan | |
|
| 2.1952 | 7.0 | 161 | 2.5613 | nan | nan | nan | |
|
| 2.1895 | 8.0 | 184 | 2.6158 | nan | nan | nan | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.3 |
|
- Pytorch 2.2.1+cu118 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.20.3 |
|
|
