|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- nyu-mll/glue |
|
metrics: |
|
- accuracy |
|
model_index: |
|
- name: hackMIT-finetuned-sst2 |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: glue |
|
type: glue |
|
args: sst2 |
|
metric: |
|
name: Accuracy |
|
type: accuracy |
|
value: 0.7970183486238532 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# hackMIT-finetuned-sst2 |
|
|
|
This model is a fine-tuned version of [Blaine-Mason/hackMIT-finetuned-sst2](https://huggingface.co/Blaine-Mason/hackMIT-finetuned-sst2) on the glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0046 |
|
- Accuracy: 0.7970 |
|
|
|
## 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: 1.7339491016138283e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 16 |
|
- seed: 23 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.0652 | 1.0 | 1053 | 0.9837 | 0.7970 | |
|
| 0.0586 | 2.0 | 2106 | 0.9927 | 0.7959 | |
|
| 0.0549 | 3.0 | 3159 | 1.0046 | 0.7970 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.9.2 |
|
- Pytorch 1.9.0+cu102 |
|
- Datasets 1.11.0 |
|
- Tokenizers 0.10.3 |
|
|
