|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: glue-mrpc |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
args: mrpc |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8553921568627451 |
|
- name: F1 |
|
type: f1 |
|
value: 0.8998302207130731 |
|
- task: |
|
type: natural-language-inference |
|
name: Natural Language Inference |
|
dataset: |
|
name: glue |
|
type: glue |
|
config: mrpc |
|
split: test |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8226086956521739 |
|
verified: true |
|
- name: Precision |
|
type: precision |
|
value: 0.8372093023255814 |
|
verified: true |
|
- name: Recall |
|
type: recall |
|
value: 0.9102005231037489 |
|
verified: true |
|
- name: AUC |
|
type: auc |
|
value: 0.8902771786185113 |
|
verified: true |
|
- name: F1 |
|
type: f1 |
|
value: 0.8721804511278195 |
|
verified: true |
|
- name: loss |
|
type: loss |
|
value: 0.4117553234100342 |
|
verified: true |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# glue-mrpc |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3654 |
|
- Accuracy: 0.8554 |
|
- F1: 0.8998 |
|
|
|
## 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: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| No log | 1.0 | 230 | 0.4039 | 0.8039 | 0.8611 | |
|
| No log | 2.0 | 460 | 0.3654 | 0.8554 | 0.8998 | |
|
| 0.4368 | 3.0 | 690 | 0.4146 | 0.8407 | 0.8885 | |
|
| 0.4368 | 4.0 | 920 | 0.5756 | 0.8456 | 0.8941 | |
|
| 0.1744 | 5.0 | 1150 | 0.5523 | 0.8456 | 0.8916 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.11.0 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.11.6 |
|
|
