t5-small-pakQuakeKP
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4801
- Rouge1: 43.5664
- Rouge2: 29.643
- Rougel: 43.4587
- Rougelsum: 43.393
- Gen Len: 6.0567
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1732 | 1.0 | 6086 | 1.4855 | 44.3428 | 30.4888 | 44.2809 | 44.238 | 6.4530 |
| 1.0189 | 2.0 | 12172 | 1.4801 | 43.5664 | 29.643 | 43.4587 | 43.393 | 6.0567 |
| 0.9379 | 3.0 | 18258 | 1.5378 | 43.8433 | 30.4692 | 43.6996 | 43.6864 | 6.9653 |
| 0.8248 | 4.0 | 24344 | 1.5389 | 43.8048 | 29.4327 | 43.7467 | 43.6956 | 6.5986 |
| 0.832 | 5.0 | 30430 | 1.5519 | 44.9305 | 30.0435 | 44.8287 | 44.7814 | 6.5894 |
| 0.732 | 6.0 | 36516 | 1.5944 | 42.8063 | 28.8826 | 42.7294 | 42.6553 | 6.4045 |
| 0.778 | 7.0 | 42602 | 1.5845 | 44.1877 | 29.1966 | 44.0738 | 44.0379 | 6.4285 |
| 0.702 | 8.0 | 48688 | 1.6057 | 44.2274 | 29.3567 | 44.1037 | 44.0794 | 6.6088 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for rizvi-rahil786/t5-small-pakQuakeKP
Base model
google-t5/t5-small