license: mit | |
tags: | |
- generated_from_trainer | |
datasets: | |
- glue | |
metrics: | |
- accuracy | |
model-index: | |
- name: roberta-base-finetuned-mnli | |
results: | |
- task: | |
name: Text Classification | |
type: text-classification | |
dataset: | |
name: glue | |
type: glue | |
config: mnli | |
split: train | |
args: mnli | |
metrics: | |
- name: Accuracy | |
type: accuracy | |
value: 0.865206316861946 | |
<!-- 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. --> | |
# roberta-base-finetuned-mnli | |
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.3914 | |
- Accuracy: 0.8652 | |
## 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: 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: 1 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:-----:|:---------------:|:--------:| | |
| 0.3982 | 1.0 | 49088 | 0.3914 | 0.8652 | | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.7.1 | |
- Tokenizers 0.13.2 | |