metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
datasets:
- social_i_qa
metrics:
- accuracy
model-index:
- name: test-glue
results: []
test-glue
This model is a fine-tuned version of FacebookAI/roberta-large on the social_i_qa dataset. It achieves the following results on the evaluation set:
- Loss: 0.6767
- Accuracy: 0.7897
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4909 | 1.0 | 2089 | 0.5585 | 0.7769 |
| 0.3564 | 2.0 | 4178 | 0.5851 | 0.7876 |
| 0.2002 | 2.9990 | 6264 | 0.6767 | 0.7897 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.5.2.dev0
- Tokenizers 0.21.1