license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- glue | |
metrics: | |
- accuracy | |
- f1 | |
model-index: | |
- name: new_model | |
results: | |
- task: | |
name: Text Classification | |
type: text-classification | |
dataset: | |
name: glue | |
type: glue | |
config: mrpc | |
split: validation | |
args: mrpc | |
metrics: | |
- name: Accuracy | |
type: accuracy | |
value: 0.821078431372549 | |
- name: F1 | |
type: f1 | |
value: 0.8620037807183365 | |
<!-- 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. --> | |
# new_model | |
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.6106 | |
- Accuracy: 0.8211 | |
- F1: 0.8620 | |
## 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: 5e-05 | |
- train_batch_size: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- 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 | F1 | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | |
| 0.5319 | 1.09 | 500 | 0.5276 | 0.8284 | 0.8822 | | |
| 0.3708 | 2.18 | 1000 | 0.6106 | 0.8211 | 0.8620 | | |
### Framework versions | |
- Transformers 4.28.1 | |
- Pytorch 2.0.1+cu118 | |
- Datasets 2.14.5 | |
- Tokenizers 0.13.3 | |