File size: 2,494 Bytes
7ca8fbc f7b9354 7ca8fbc f7b9354 7ca8fbc f7b9354 7ca8fbc f7b9354 7ca8fbc f7b9354 7ca8fbc 8348b8e 7ca8fbc 8348b8e 7ca8fbc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: hBERTv1_new_pretrain_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
config: stsb
split: validation
args: stsb
metrics:
- name: Spearmanr
type: spearmanr
value: 0.24765283238401
---
<!-- 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. -->
# hBERTv1_new_pretrain_stsb
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2275
- Pearson: 0.2386
- Spearmanr: 0.2477
- Combined Score: 0.2431
## 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: 4e-05
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.2918 | 1.0 | 45 | 2.6098 | 0.1233 | 0.1129 | 0.1181 |
| 1.9907 | 2.0 | 90 | 2.4074 | 0.2000 | 0.1874 | 0.1937 |
| 1.6996 | 3.0 | 135 | 2.2275 | 0.2386 | 0.2477 | 0.2431 |
| 1.4403 | 4.0 | 180 | 2.5775 | 0.3060 | 0.3062 | 0.3061 |
| 1.1707 | 5.0 | 225 | 2.3220 | 0.3500 | 0.3356 | 0.3428 |
| 0.8313 | 6.0 | 270 | 2.4218 | 0.3881 | 0.3929 | 0.3905 |
| 0.6374 | 7.0 | 315 | 2.2601 | 0.3980 | 0.3955 | 0.3967 |
| 0.5371 | 8.0 | 360 | 2.6668 | 0.3626 | 0.3601 | 0.3614 |
### Framework versions
- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
|