metadata
base_model: ixa-ehu/berteus-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MT_authorship_att2
results: []
MT_authorship_att2
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: 0.3781
- Accuracy: 0.8086
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 |
|---|---|---|---|---|
| 0.5214 | 0.9994 | 783 | 0.4172 | 0.7824 |
| 0.3949 | 1.9989 | 1566 | 0.3966 | 0.7937 |
| 0.3614 | 2.9996 | 2350 | 0.3804 | 0.8047 |
| 0.3315 | 3.9990 | 3133 | 0.3770 | 0.8071 |
| 0.32 | 4.9972 | 3915 | 0.3781 | 0.8086 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1