---
base_model: ixa-ehu/berteus-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MT_authorship_att2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MT_authorship_att2

This model is a fine-tuned version of [ixa-ehu/berteus-base-cased](https://huggingface.co/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