metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FacebookAI_roberta-base_custom_data
results: []
FacebookAI_roberta-base_custom_data
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3682
- Precision Macro: 0.8383
- Recall Macro: 0.8140
- F1 Macro: 0.8200
- Accuracy: 0.8265
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Recall Macro | F1 Macro | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4598 | 1.0 | 270 | 0.4176 | 0.8068 | 0.8221 | 0.8125 | 0.8052 |
| 0.3705 | 2.0 | 540 | 0.3682 | 0.8383 | 0.8140 | 0.8200 | 0.8265 |
| 0.3 | 3.0 | 810 | 0.4171 | 0.8237 | 0.8122 | 0.8150 | 0.8182 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1