metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta_classification
results: []
roberta_classification
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6884 | 1.0 | 3125 | 0.7034 |
| 0.6953 | 2.0 | 6250 | 0.6931 |
| 0.6901 | 3.0 | 9375 | 0.6980 |
| 0.6982 | 4.0 | 12500 | 0.6935 |
| 0.6963 | 5.0 | 15625 | 0.6935 |
| 0.6904 | 6.0 | 18750 | 0.6932 |
| 0.6876 | 7.0 | 21875 | 0.6932 |
| 0.7063 | 8.0 | 25000 | 0.6933 |
| 0.7211 | 9.0 | 28125 | 0.7049 |
| 0.6967 | 10.0 | 31250 | 0.6933 |
| 0.6903 | 11.0 | 34375 | 0.6932 |
| 0.6945 | 12.0 | 37500 | 0.6945 |
| 0.6899 | 13.0 | 40625 | 0.6932 |
| 0.6883 | 14.0 | 43750 | 0.6936 |
| 0.7075 | 15.0 | 46875 | 0.6931 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0