finetuned-baseline-27
This model is a fine-tuned version of valhalla/t5-small-e2e-qg on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2090
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0754 | 2.87 | 100 | 3.3128 |
| 3.4337 | 5.75 | 200 | 3.2366 |
| 3.3656 | 8.62 | 300 | 3.2090 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for ishwarbb23/finetuned-baseline-27
Base model
valhalla/t5-small-e2e-qg