|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: tiny-mlm-glue-sst2-target-glue-qnli |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# tiny-mlm-glue-sst2-target-glue-qnli |
|
|
|
This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-sst2](https://huggingface.co/muhtasham/tiny-mlm-glue-sst2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4704 |
|
- Accuracy: 0.7792 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 200 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.6131 | 0.15 | 500 | 0.5383 | 0.7337 | |
|
| 0.5434 | 0.31 | 1000 | 0.5325 | 0.7393 | |
|
| 0.5218 | 0.46 | 1500 | 0.4985 | 0.7635 | |
|
| 0.5155 | 0.61 | 2000 | 0.5256 | 0.7465 | |
|
| 0.511 | 0.76 | 2500 | 0.4781 | 0.7759 | |
|
| 0.5044 | 0.92 | 3000 | 0.4673 | 0.7824 | |
|
| 0.4924 | 1.07 | 3500 | 0.4546 | 0.7904 | |
|
| 0.4819 | 1.22 | 4000 | 0.4664 | 0.7836 | |
|
| 0.4674 | 1.37 | 4500 | 0.4724 | 0.7789 | |
|
| 0.4755 | 1.53 | 5000 | 0.4704 | 0.7792 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.8.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
