t5-large-qdmr-grounded-with-db
This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1100
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: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 20000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2122 | 0.2312 | 500 | 0.1902 |
| 0.1786 | 0.4624 | 1000 | 0.1430 |
| 0.146 | 0.6936 | 1500 | 0.1148 |
| 0.1223 | 0.9249 | 2000 | 0.1092 |
| 0.0976 | 1.1561 | 2500 | 0.1100 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google-t5/t5-large