metadata
base_model: ixa-ehu/berteus-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MT_authorship_att
results: []
MT_authorship_att
This model is a fine-tuned version of ixa-ehu/berteus-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1355
- Accuracy: 0.9243
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1653 | 0.9999 | 784 | 0.1379 | 0.9227 |
| 0.133 | 1.9998 | 1568 | 0.1338 | 0.9251 |
| 0.1253 | 2.9998 | 2352 | 0.1316 | 0.9244 |
| 0.1155 | 3.9997 | 3136 | 0.1335 | 0.9249 |
| 0.1114 | 4.9996 | 3920 | 0.1355 | 0.9243 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1