metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: storyseeker
results: []
storyseeker
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4343
- Accuracy: 0.8416
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: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6969 | 0.53 | 10 | 0.7059 | 0.4158 |
0.6942 | 1.05 | 20 | 0.6674 | 0.6139 |
0.602 | 1.58 | 30 | 0.4691 | 0.7921 |
0.4826 | 2.11 | 40 | 0.4711 | 0.7921 |
0.2398 | 2.63 | 50 | 0.4685 | 0.8119 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2