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sec-t5-base
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0365
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4845 | 1.0 | 24 | 3.1348 |
| 3.3224 | 2.0 | 48 | 3.0846 |
| 3.2575 | 3.0 | 72 | 3.0575 |
| 3.2128 | 4.0 | 96 | 3.0406 |
| 3.2031 | 5.0 | 120 | 3.0365 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
