|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- spearmanr |
|
model-index: |
|
- name: hBERTv2_new_no_pretrain_stsb |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
config: stsb |
|
split: validation |
|
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. --> |
|
|
|
# hBERTv2_new_no_pretrain_stsb |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.2926 |
|
- 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: 0.0005 |
|
- train_batch_size: 128 |
|
- eval_batch_size: 128 |
|
- seed: 10 |
|
- distributed_type: multi-GPU |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 50 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:| |
|
| 13.1642 | 1.0 | 45 | 2.2500 | nan | nan | nan | |
|
| 2.3438 | 2.0 | 90 | 2.2500 | -0.0336 | -0.0323 | -0.0329 | |
|
| 2.3125 | 3.0 | 135 | 2.2502 | nan | nan | nan | |
|
| 2.2007 | 4.0 | 180 | 2.3598 | 0.0455 | 0.0438 | 0.0447 | |
|
| 2.2124 | 5.0 | 225 | 2.3019 | nan | nan | nan | |
|
| 2.2073 | 6.0 | 270 | 2.2926 | nan | nan | nan | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 1.14.0a0+410ce96 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
