metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- corpusfinanciero
model-index:
- name: roberta-large-bne-sqac-finetuned-squad
results: []
roberta-large-bne-sqac-finetuned-squad
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne-sqac on the corpusfinanciero dataset. It achieves the following results on the evaluation set:
- Loss: 0.0782
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: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 1 | 2.8523 |
No log | 2.0 | 2 | 0.6250 |
No log | 3.0 | 3 | 0.0782 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3