metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roBERTa-imdb
results: []
datasets:
- stanfordnlp/imdb
roBERTa-imdb
This model is a fine-tuned version of FacebookAI/roberta-base on an "stanfordnlp/imdb" dataset. It achieves the following results on the evaluation set:
- Loss: 0.1823
- Accuracy: 0.9557
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.19 | 1.0 | 1563 | 0.1361 | 0.9528 |
| 0.1223 | 2.0 | 3126 | 0.1823 | 0.9557 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1