metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Models-RoBERTa-1715659330.632454
results: []
Models-RoBERTa-1715659330.632454
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2353
- Accuracy: 0.919
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: 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: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.3034 | 0.25 | 3068 | 0.2485 | 0.902 |
0.2598 | 0.5 | 6136 | 0.2506 | 0.906 |
0.2441 | 0.75 | 9204 | 0.2321 | 0.912 |
0.2334 | 1.0 | 12272 | 0.2065 | 0.913 |
0.1825 | 1.25 | 15340 | 0.2189 | 0.91 |
0.1764 | 1.5 | 18408 | 0.2488 | 0.916 |
0.172 | 1.75 | 21476 | 0.2410 | 0.916 |
0.168 | 2.0 | 24544 | 0.2353 | 0.919 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1