|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- accuracy |
|
model_index: |
|
- name: bert-base-uncased-finetuned-sst2 |
|
results: |
|
- dataset: |
|
name: glue |
|
type: glue |
|
args: sst2 |
|
metric: |
|
name: Accuracy |
|
type: accuracy |
|
value: 0.9220183486238532 |
|
--- |
|
|
|
<!-- 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-uncased-finetuned-sst2 |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3912 |
|
- Accuracy: 0.9220 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.4005 | 1.0 | 4210 | 0.4058 | 0.9025 | |
|
| 0.3707 | 2.0 | 8420 | 0.4141 | 0.8968 | |
|
| 0.3554 | 3.0 | 12630 | 0.3978 | 0.9151 | |
|
| 0.3551 | 4.0 | 16840 | 0.3912 | 0.9220 | |
|
| 0.353 | 5.0 | 21050 | 0.3930 | 0.9209 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.9.1 |
|
- Pytorch 1.9.0+cu102 |
|
- Datasets 1.11.0 |
|
- Tokenizers 0.10.3 |
|
|
