---
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne
tags:
- generated_from_trainer
model-index:
- name: final-ft__roberta-base-bne__70k-ultrasounds
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# final-ft__roberta-base-bne__70k-ultrasounds

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6164

## 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: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 259  | 1.1165          |
| No log        | 2.0   | 518  | 0.9244          |
| No log        | 3.0   | 777  | 0.8153          |
| 1.0516        | 4.0   | 1036 | 0.7842          |
| 1.0516        | 5.0   | 1295 | 0.7262          |
| 1.0516        | 6.0   | 1554 | 0.7235          |
| 1.0516        | 7.0   | 1813 | 0.6960          |
| 0.7109        | 8.0   | 2072 | 0.6787          |
| 0.7109        | 9.0   | 2331 | 0.6799          |
| 0.7109        | 10.0  | 2590 | 0.6718          |
| 0.7109        | 11.0  | 2849 | 0.6488          |
| 0.6385        | 12.0  | 3108 | 0.6426          |
| 0.6385        | 13.0  | 3367 | 0.6415          |
| 0.6385        | 14.0  | 3626 | 0.6232          |
| 0.6385        | 15.0  | 3885 | 0.6329          |
| 0.6042        | 16.0  | 4144 | 0.6036          |
| 0.6042        | 17.0  | 4403 | 0.6161          |
| 0.6042        | 18.0  | 4662 | 0.6193          |
| 0.6042        | 19.0  | 4921 | 0.6183          |
| 0.587         | 20.0  | 5180 | 0.6164          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1