|
--- |
|
license: apache-2.0 |
|
tags: |
|
- classification |
|
- generated_from_trainer |
|
datasets: |
|
- rotten_tomatoes |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: rotten_tomatoes_dataset |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: rotten_tomatoes |
|
type: rotten_tomatoes |
|
config: default |
|
split: test |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.8630393996247655 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# rotten_tomatoes_dataset |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the rotten_tomatoes dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7857 |
|
- Accuracy: 0.8630 |
|
|
|
## 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: 3.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.3923 | 1.0 | 1067 | 0.3781 | 0.8480 | |
|
| 0.2186 | 2.0 | 2134 | 0.5862 | 0.8518 | |
|
| 0.0747 | 3.0 | 3201 | 0.7857 | 0.8630 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.2 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.10.1 |
|
- Tokenizers 0.13.2 |
|
|
