metadata
base_model: google/reformer-crime-and-punishment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reformer_model
results: []
reformer_model
This model is a fine-tuned version of google/reformer-crime-and-punishment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6693
- Accuracy: 0.561
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.6841 | 1.0 | 625 | 0.6725 | 0.559 |
| 0.6789 | 2.0 | 1250 | 0.6693 | 0.561 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1