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t5-base-prompter-multiarith_300-repeated-ep10
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2140
- Rouge1: 51.8167
- Rouge2: 40.6702
- Rougel: 51.7
- Rougelsum: 51.8
- Gen Len: 9.0
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: 64
- seed: 1799
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.9903 | 1.55 | 200 | 0.2269 | 48.2245 | 36.1266 | 48.1021 | 48.2726 | 12.6133 |
| 0.288 | 3.1 | 400 | 0.2190 | 49.1321 | 36.7892 | 48.9713 | 49.0819 | 11.24 |
| 0.2616 | 4.65 | 600 | 0.2182 | 48.8628 | 38.2572 | 48.7884 | 48.8079 | 8.3133 |
| 0.2595 | 6.2 | 800 | 0.2160 | 51.8167 | 40.6702 | 51.7 | 51.8 | 9.0 |
| 0.2488 | 7.75 | 1000 | 0.2149 | 51.6138 | 40.4037 | 51.4575 | 51.5664 | 9.2 |
| 0.25 | 9.3 | 1200 | 0.2139 | 51.8167 | 40.6702 | 51.7 | 51.8 | 9.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
