metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-riddle-finetuned_new_3choice
results: []
roberta-base-riddle-finetuned_new_3choice
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1949
- Accuracy: 0.875
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 12 | 0.4873 | 0.7250 |
| No log | 2.0 | 24 | 0.3075 | 0.8000 |
| No log | 3.0 | 36 | 0.4185 | 0.8000 |
| No log | 4.0 | 48 | 0.3031 | 0.8250 |
| No log | 5.0 | 60 | 0.3392 | 0.8250 |
| No log | 6.0 | 72 | 0.3420 | 0.8500 |
| No log | 7.0 | 84 | 0.3509 | 0.8250 |
| No log | 8.0 | 96 | 0.3089 | 0.8500 |
| No log | 9.0 | 108 | 0.2797 | 0.8250 |
| No log | 10.0 | 120 | 0.2378 | 0.8000 |
| No log | 11.0 | 132 | 0.2622 | 0.875 |
| No log | 12.0 | 144 | 0.2334 | 0.9000 |
| No log | 13.0 | 156 | 0.2314 | 0.9000 |
| No log | 14.0 | 168 | 0.1987 | 0.875 |
| No log | 15.0 | 180 | 0.1949 | 0.875 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0