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