flan-t5-base-finetuned-scope-summarization
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: 0.2068
- Rouge1: 21.1277
- Rouge2: 12.8385
- Rougel: 19.2508
- Rougelsum: 19.1904
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: 5.6e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.7131 | 1.0 | 40 | 0.3103 | 13.5236 | 5.6576 | 11.5554 | 11.5235 |
| 0.3577 | 2.0 | 80 | 0.2444 | 20.2029 | 12.8573 | 18.8596 | 18.7919 |
| 0.3116 | 3.0 | 120 | 0.2315 | 20.1102 | 12.5261 | 18.5794 | 18.6565 |
| 0.3041 | 4.0 | 160 | 0.2235 | 19.7317 | 12.0446 | 18.1138 | 18.1158 |
| 0.2856 | 5.0 | 200 | 0.2166 | 19.9465 | 12.3127 | 18.2483 | 18.1644 |
| 0.2972 | 6.0 | 240 | 0.2128 | 20.5461 | 12.4766 | 18.5225 | 18.5724 |
| 0.2787 | 7.0 | 280 | 0.2101 | 20.383 | 12.8677 | 19.021 | 18.9993 |
| 0.2837 | 8.0 | 320 | 0.2087 | 21.0603 | 12.7582 | 19.2214 | 19.1966 |
| 0.2803 | 9.0 | 360 | 0.2074 | 20.9823 | 12.7617 | 19.1207 | 19.0656 |
| 0.2696 | 10.0 | 400 | 0.2068 | 21.1277 | 12.8385 | 19.2508 | 19.1904 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for nandavikas16/flan-t5-base-finetuned-scope-summarization
Base model
google/flan-t5-base