t5_squad
This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only.
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: 3e-05
- train_batch_size: 12
- 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": 70.06622516556291, "eval_f1": 80.02993815400357, "eval_samples": 10659 }
Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Splend1dchan/t5small-squad-extractive", dtype="auto")