File size: 1,350 Bytes
9e75298 76f8565 9e75298 76f8565 342d0ee 76f8565 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
license: other
base_model: PORTULAN/albertina-ptbr
tags:
- generated_from_trainer
datasets:
- ArthurBaia/squad_v1_pt_br
model-index:
- name: albertina
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. -->
# albertina
This model is a fine-tuned version of [PORTULAN/albertina-ptbr](https://huggingface.co./PORTULAN/albertina-ptbr) on the ArthurBaia/squad_v1_pt_br dataset.
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
{
"epoch": 3.0,
"eval_exact_match": 76.96310312204352,
"eval_f1": 87.82372321450285,
"eval_runtime": 189.7132,
"eval_samples": 10977,
"eval_samples_per_second": 57.861,
"eval_steps_per_second": 7.237
}
### Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|