metadata
license: mit
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: sa_english_new
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.9394
sa_english_new
This model is a fine-tuned version of xlm-roberta-base on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3371
- Accuracy: 0.9394
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.244 | 1.0 | 1563 | 0.2231 | 0.9151 |
| 0.1826 | 2.0 | 3126 | 0.2054 | 0.9396 |
| 0.1196 | 3.0 | 4689 | 0.2671 | 0.9350 |
| 0.0769 | 4.0 | 6252 | 0.2950 | 0.9399 |
| 0.0455 | 5.0 | 7815 | 0.3371 | 0.9394 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3