t5-small-finetuned
This model is a fine-tuned version of t5-small on the big_patent 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.14.1
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Model tree for NeerajG03/t5-small-finetuned
Base model
google-t5/t5-small