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flan-t5-base-finetuned-xsum
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 37.215
- Rouge2: 20.5293
- Rougel: 34.9978
- Rougelsum: 35.1065
- Gen Len: 14.4
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: 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 17 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 2.0 | 34 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 3.0 | 51 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 4.0 | 68 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 5.0 | 85 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 6.0 | 102 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 7.0 | 119 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 8.0 | 136 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 9.0 | 153 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
| No log | 10.0 | 170 | nan | 37.215 | 20.5293 | 34.9978 | 35.1065 | 14.4 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
