metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Roberta-capstone_2
results: []
Roberta-capstone_2
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4013
- Accuracy: 0.9206
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3164 | 1.0 | 625 | 0.2393 | 0.9086 |
| 0.2111 | 2.0 | 1250 | 0.2155 | 0.916 |
| 0.1568 | 3.0 | 1875 | 0.3493 | 0.9136 |
| 0.0714 | 4.0 | 2500 | 0.3669 | 0.9192 |
| 0.0398 | 5.0 | 3125 | 0.4013 | 0.9206 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3