metadata
license: mit
base_model: unicamp-dl/ptt5-small-t5-vocab
tags:
- generated_from_trainer
datasets:
- tiagoblima/qg_squad_v1_pt
model-index:
- name: debug_t5-small_squad
results: []
debug_t5-small_squad
This model is a fine-tuned version of unicamp-dl/ptt5-small-t5-vocab on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 1.5534
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: 0.0001
- 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: 2.0
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0